0.3.3.3

22 files changed, 757 insertions, 544 deletions

diff --git a/README.md b/README.md
index 74e9a0bf..1a1d2517 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,11 @@
 
-
 ![248433934-7886223b-c1d1-4260-82aa-da5741f303bb](https://github.com/xtekky/gpt4free/assets/98614666/ea012c87-76e0-496a-8ac4-e2de090cc6c9)
 
 <a href="https://trendshift.io/repositories/1692" target="_blank"><img src="https://trendshift.io/api/badge/repositories/1692" alt="xtekky%2Fgpt4free | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
 ---
 
-Written by [@xtekky](https://github.com/xtekky)
+<p align="center"><strong>Written by <a href="https://github.com/xtekky">@xtekky</a></strong></p>
 
 <div id="top"></div>
 
@@ -17,7 +16,7 @@ Written by [@xtekky](https://github.com/xtekky)
 > _"gpt4free"_ serves as a **PoC** (proof of concept), demonstrating the development of an API package with multi-provider requests, with features like timeouts, load balance and flow control.
 
 > [!NOTE]
-> <sup><strong>Lastet version:</strong></sup> [![PyPI version](https://img.shields.io/pypi/v/g4f?color=blue)](https://pypi.org/project/g4f) [![Docker version](https://img.shields.io/docker/v/hlohaus789/g4f?label=docker&color=blue)](https://hub.docker.com/r/hlohaus789/g4f)  
+> <sup><strong>Latest version:</strong></sup> [![PyPI version](https://img.shields.io/pypi/v/g4f?color=blue)](https://pypi.org/project/g4f) [![Docker version](https://img.shields.io/docker/v/hlohaus789/g4f?label=docker&color=blue)](https://hub.docker.com/r/hlohaus789/g4f)  
 > <sup><strong>Stats:</strong></sup> [![Downloads](https://static.pepy.tech/badge/g4f)](https://pepy.tech/project/g4f) [![Downloads](https://static.pepy.tech/badge/g4f/month)](https://pepy.tech/project/g4f)
 
 ```sh
@@ -30,10 +29,11 @@ docker pull hlohaus789/g4f
 
 ## 🆕 What's New
    - **For comprehensive details on new features and updates, please refer to our [Releases](https://github.com/xtekky/gpt4free/releases) page**
-   - **Installation Guide for Windows (.exe):** 💻 [#installation-guide-for-windows](#installation-guide-for-windows-exe)
+   - **Installation Guide for Windows (.exe):** 💻 [Installation Guide for Windows (.exe)](#installation-guide-for-windows-exe)
    - **Join our Telegram Channel:** 📨 [telegram.me/g4f_channel](https://telegram.me/g4f_channel)
    - **Join our Discord Group:** 💬 [discord.gg/XfybzPXPH5](https://discord.gg/XfybzPXPH5)
 
+
 ## 🔻 Site Takedown
 
 Is your site on this repository and you want to take it down? Send an email to takedown@g4f.ai with proof it is yours and it will be removed as fast as possible. To prevent reproduction please secure your API. 😉
@@ -53,33 +53,32 @@ Is your site on this repository and you want to take it down? Send an email to t
    - [ ] 🚧 Improve compatibility and error handling
 
 ## 📚 Table of Contents
-
-- [🆕 What's New](#-whats-new)
-- [📚 Table of Contents](#-table-of-contents)
-- [🛠️ Getting Started](#-getting-started)
-  - [Docker Container Guide](#docker-container-guide)
-  - [Installation Guide for Windows (.exe)](#installation-guide-for-windows-exe)
-  - [Use python](#use-python)
-    - [Prerequisites](#prerequisites)
-    - [Install using PyPI package:](#install-using-pypi-package)
-    - [Install from source:](#install-from-source)
-    - [Install using Docker:](#install-using-docker)
-- [💡 Usage](#-usage)
-  - [Text Generation](#text-generation)
-  - [Image Generation](#image-generation)
-  - [Web UI](#web-ui)
-  - [Interference API](docs/interference.md)
-  - [Local inference](docs/local.md)
-  - [Configuration](#configuration)
-- [🚀 Providers and Models](docs/providers-and-models.md)
-- [🔗 Powered by gpt4free](#-powered-by-gpt4free)
-- [🤝 Contribute](#-contribute)
-  - [How do i create a new Provider?](#guide-how-do-i-create-a-new-provider)
-  - [How can AI help me with writing code?](#guide-how-can-ai-help-me-with-writing-code)
-- [🙌 Contributors](#-contributors)
-- [©️ Copyright](#-copyright)
-- [⭐ Star History](#-star-history)
-- [📄 License](#-license)
+   - [🆕 What's New](#-whats-new)
+   - [📚 Table of Contents](#-table-of-contents)
+   - [🛠️ Getting Started](#-getting-started)
+      - [Docker Container Guide](#docker-container-guide)
+      - [Installation Guide for Windows (.exe)](#installation-guide-for-windows-exe)
+   - [Use python](#use-python)
+      - [Prerequisites](#prerequisites)
+      - [Install using PyPI package](#install-using-pypi-package)
+      - [Install from source](#install-from-source)
+   - [Install using Docker](#install-using-docker)
+   - [💡 Usage](#-usage)
+      - [Text Generation](#text-generation)
+      - [Image Generation](#image-generation)
+      - [Web UI](#web-ui)
+      - [Interference API](#interference-api)
+      - [Local Inference](docs/local.md)
+      - [Configuration](#configuration)
+   - [🚀 Providers and Models](docs/providers-and-models.md)
+   - [🔗 Powered by gpt4free](#-powered-by-gpt4free)
+   - [🤝 Contribute](#-contribute)
+      - [How do i create a new Provider?](#guide-how-do-i-create-a-new-provider)
+      - [How can AI help me with writing code?](#guide-how-can-ai-help-me-with-writing-code)
+   - [🙌 Contributors](#-contributors)
+   - [©️ Copyright](#-copyright)
+   - [⭐ Star History](#-star-history)
+   - [📄 License](#-license)
 
 ## 🛠️ Getting Started
 
@@ -123,7 +122,7 @@ To ensure the seamless operation of our application, please follow the instructi
 
 By following these steps, you should be able to successfully install and run the application on your Windows system. If you encounter any issues during the installation process, please refer to our Issue Tracker or try to get contact over Discord for assistance.
 
-Run the **Webview UI** on other Platfroms:
+Run the **Webview UI** on other Platforms:
 
 - [/docs/guides/webview](docs/webview.md)
 
@@ -771,10 +770,10 @@ set G4F_PROXY=http://host:port
 We welcome contributions from the community. Whether you're adding new providers or features, or simply fixing typos and making small improvements, your input is valued. Creating a pull request is all it takes – our co-pilot will handle the code review process. Once all changes have been addressed, we'll merge the pull request into the main branch and release the updates at a later time.
 
 ###### Guide: How do i create a new Provider?
-   - Read: [/docs/guides/create_provider](docs/guides/create_provider.md)
+   - Read: [Create Provider Guide](docs/guides/create_provider.md)
 
 ###### Guide: How can AI help me with writing code?
-   - Read: [/docs/guides/help_me](docs/guides/help_me.md)
+   - Read: [AI Assistance Guide](docs/guides/help_me.md)
 
 ## 🙌 Contributors
 A list of all contributors is available [here](https://github.com/xtekky/gpt4free/graphs/contributors)
@@ -866,4 +865,7 @@ This project is licensed under <a href="https://github.com/xtekky/gpt4free/blob/
   </tr>
 </table>
 
+---
+
 <p align="right">(<a href="#top">🔼 Back to top</a>)</p>
+
diff --git a/docs/async_client.md b/docs/async_client.md
index 0c296c09..0719a463 100644
--- a/docs/async_client.md
+++ b/docs/async_client.md
@@ -10,6 +10,7 @@ The G4F async client API is designed to be compatible with the OpenAI API, makin
    - [Key Features](#key-features)
    - [Getting Started](#getting-started)
    - [Initializing the Client](#initializing-the-client)
+   - [Creating Chat Completions](#creating-chat-completions)
    - [Configuration](#configuration)
    - [Usage Examples](#usage-examples)
    - [Text Completions](#text-completions)
@@ -51,6 +52,28 @@ client = Client(
 )
 ```
 
+
+## Creating Chat Completions
+**Here’s an improved example of creating chat completions:**
+```python
+response = await async_client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[
+        {
+            "role": "user",
+            "content": "Say this is a test"
+        }
+    ]
+     # Add other parameters as needed
+)
+```
+
+**This example:**
+   - Asks a specific question `Say this is a test`
+   - Configures various parameters like temperature and max_tokens for more control over the output
+   - Disables streaming for a complete response
+
+You can adjust these parameters based on your specific needs.
   
 
 ### Configuration
@@ -164,7 +187,7 @@ async def main():
     
     response = await client.images.async_generate(
         prompt="a white siamese cat",
-        model="dall-e-3"
+        model="flux"
     )
     
     image_url = response.data[0].url
@@ -185,7 +208,7 @@ async def main():
     
     response = await client.images.async_generate(
         prompt="a white siamese cat",
-        model="dall-e-3",
+        model="flux",
         response_format="b64_json"
     )
     
@@ -217,7 +240,7 @@ async def main():
     )
     
     task2 = client.images.async_generate(
-        model="dall-e-3",
+        model="flux",
         prompt="a white siamese cat"
     )
     
diff --git a/docs/client.md b/docs/client.md
index 08445402..388b2e4b 100644
--- a/docs/client.md
+++ b/docs/client.md
@@ -7,6 +7,7 @@
    - [Getting Started](#getting-started)
    - [Switching to G4F Client](#switching-to-g4f-client)
    - [Initializing the Client](#initializing-the-client)
+   - [Creating Chat Completions](#creating-chat-completions)
    - [Configuration](#configuration)
    - [Usage Examples](#usage-examples)
    - [Text Completions](#text-completions)
@@ -56,6 +57,28 @@ client = Client(
     # Add any other necessary parameters
 )
 ```
+
+## Creating Chat Completions
+**Here’s an improved example of creating chat completions:**
+```python
+response = client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[
+        {
+            "role": "user",
+            "content": "Say this is a test"
+        }
+    ]
+    # Add any other necessary parameters
+)
+```
+
+**This example:**
+   - Asks a specific question `Say this is a test`
+   - Configures various parameters like temperature and max_tokens for more control over the output
+   - Disables streaming for a complete response
+
+You can adjust these parameters based on your specific needs.
  
 
 ## Configuration
@@ -129,7 +152,7 @@ from g4f.client import Client
 client = Client()
 
 response = client.images.generate(
-    model="dall-e-3",
+    model="flux",
     prompt="a white siamese cat"
     # Add any other necessary parameters
 )
@@ -139,6 +162,23 @@ image_url = response.data[0].url
 print(f"Generated image URL: {image_url}")
 ```
 
+
+#### Base64 Response Format
+```python
+from g4f.client import Client
+
+client = Client()
+
+response = client.images.generate(
+    model="flux",
+    prompt="a white siamese cat",
+    response_format="b64_json"
+)
+
+base64_text = response.data[0].b64_json
+print(base64_text)
+```
+
   
 
 ### Creating Image Variations
diff --git a/docs/interference-api.md b/docs/interference-api.md
index 4050f84f..2e18e7b5 100644
--- a/docs/interference-api.md
+++ b/docs/interference-api.md
@@ -1,23 +1,30 @@
-
 # G4F - Interference API Usage Guide
-
+  
 
 ## Table of Contents
    - [Introduction](#introduction)
    - [Running the Interference API](#running-the-interference-api)
    - [From PyPI Package](#from-pypi-package)
    - [From Repository](#from-repository)
-   - [Usage with OpenAI Library](#usage-with-openai-library)
-   - [Usage with Requests Library](#usage-with-requests-library)
+   - [Using the Interference API](#using-the-interference-api)
+   - [Basic Usage](#basic-usage)
+   - [With OpenAI Library](#with-openai-library)
+   - [With Requests Library](#with-requests-library)
    - [Key Points](#key-points)
+   - [Conclusion](#conclusion)
+  
 
 ## Introduction
-The Interference API allows you to serve other OpenAI integrations with G4F. It acts as a proxy, translating requests to the OpenAI API into requests to the G4F providers.
+The G4F Interference API is a powerful tool that allows you to serve other OpenAI integrations using G4F (Gpt4free). It acts as a proxy, translating requests intended for the OpenAI API into requests compatible with G4F providers. This guide will walk you through the process of setting up, running, and using the Interference API effectively.
+  
 
 ## Running the Interference API
+**You can run the Interference API in two ways:** using the PyPI package or from the repository.
+  
 
 ### From PyPI Package
-**You can run the Interference API directly from the G4F PyPI package:**
+**To run the Interference API directly from the G4F PyPI package, use the following Python code:**
+
 ```python
 from g4f.api import run_api
 
@@ -25,37 +32,80 @@ run_api()
 ```
 
   
-
 ### From Repository
-Alternatively, you can run the Interference API from the cloned repository.  
+**If you prefer to run the Interference API from the cloned repository, you have two options:**
 
-**Run the server with:**
+1. **Using the command line:**
 ```bash
 g4f api
 ```
-or
+
+2. **Using Python:**
 ```bash
 python -m g4f.api.run
 ```
 
+**Once running, the API will be accessible at:** `http://localhost:1337/v1`
   
 
-## Usage with OpenAI Library
+## Using the Interference API
 
-  
+### Basic Usage
+**You can interact with the Interference API using curl commands for both text and image generation:**
 
+**For text generation:**
+```bash
+curl -X POST "http://localhost:1337/v1/chat/completions" \
+     -H "Content-Type: application/json" \
+     -d '{
+           "messages": [
+             {
+               "role": "user",
+               "content": "Hello"
+             }
+           ],
+           "model": "gpt-3.5-turbo"
+         }'
+```
+
+**For image generation:**
+1. **url:**
+```bash
+curl -X POST "http://localhost:1337/v1/images/generate" \
+     -H "Content-Type: application/json" \
+     -d '{
+           "prompt": "a white siamese cat",
+           "model": "flux",
+           "response_format": "url"
+         }'
+```
+
+2. **b64_json**
+```bash
+curl -X POST "http://localhost:1337/v1/images/generate" \
+     -H "Content-Type: application/json" \
+     -d '{
+           "prompt": "a white siamese cat",
+           "model": "flux",
+           "response_format": "b64_json"
+         }'
+```
+
+
+### With OpenAI Library
+
+**You can use the Interference API with the OpenAI Python library by changing the `base_url`:**
 ```python
 from openai import OpenAI
 
 client = OpenAI(
     api_key="",
-    # Change the API base URL to the local interference API
-    base_url="http://localhost:1337/v1"  
+    base_url="http://localhost:1337/v1"
 )
 
 response = client.chat.completions.create(
     model="gpt-3.5-turbo",
-    messages=[{"role": "user", "content": "write a poem about a tree"}],
+    messages=[{"role": "user", "content": "Write a poem about a tree"}],
     stream=True,
 )
 
@@ -68,20 +118,20 @@ else:
         content = token.choices[0].delta.content
         if content is not None:
             print(content, end="", flush=True)
-```
 
+```
   
 
-## Usage with Requests Library
-You can also send requests directly to the Interference API using the requests library. 
+### With Requests Library
 
-**Send a POST request to `/v1/chat/completions` with the request body containing the model and other parameters:**
+**You can also send requests directly to the Interference API using the `requests` library:**
 ```python
 import requests
 
 url = "http://localhost:1337/v1/chat/completions"
+
 body = {
-    "model": "gpt-3.5-turbo", 
+    "model": "gpt-3.5-turbo",
     "stream": False,
     "messages": [
         {"role": "assistant", "content": "What can you do?"}
@@ -92,18 +142,20 @@ json_response = requests.post(url, json=body).json().get('choices', [])
 
 for choice in json_response:
     print(choice.get('message', {}).get('content', ''))
-```
 
-  
+```
 
 ## Key Points
-- The Interference API translates OpenAI API requests into G4F provider requests
-- You can run it from the PyPI package or the cloned repository
-- It supports usage with the OpenAI Python library by changing the `base_url`
-- Direct requests can be sent to the API endpoints using libraries like `requests`
+   - The Interference API translates OpenAI API requests into G4F provider requests.
+   - It can be run from either the PyPI package or the cloned repository.
+   - The API supports usage with the OpenAI Python library by changing the `base_url`.
+   - Direct requests can be sent to the API endpoints using libraries like `requests`.
+   - Both text and image generation are supported.
 
   
-**_The Interference API allows easy integration of G4F with existing OpenAI-based applications and tools._**
+## Conclusion
+The G4F Interference API provides a seamless way to integrate G4F with existing OpenAI-based applications and tools. By following this guide, you should now be able to set up, run, and use the Interference API effectively. Whether you're using it for text generation, image creation, or as a drop-in replacement for OpenAI in your projects, the Interference API offers flexibility and power for your AI-driven applications.
+ 
 
 ---
 
diff --git a/docs/providers-and-models.md b/docs/providers-and-models.md
index a6d7ec4b..b3dbd9f1 100644
--- a/docs/providers-and-models.md
+++ b/docs/providers-and-models.md
@@ -51,6 +51,7 @@ This document provides an overview of various AI providers and models, including
 |[free.netfly.top](https://free.netfly.top)|`g4f.Provider.FreeNetfly`|✔|❌|❌|?|![Cloudflare](https://img.shields.io/badge/Cloudflare-f48d37)|❌|
 |[gemini.google.com](https://gemini.google.com)|`g4f.Provider.Gemini`|✔|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
 |[ai.google.dev](https://ai.google.dev)|`g4f.Provider.GeminiPro`|✔|❌|✔|?|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
+|[app.giz.ai](https://app.giz.ai/assistant/)|`g4f.Provider.GizAI`|`gemini-flash, gemini-pro, gpt-4o-mini, gpt-4o, claude-3.5-sonnet, claude-3-haiku, llama-3.1-70b, llama-3.1-8b, mistral-large`|`sdxl, sd-1.5, sd-3.5, dalle-3, flux-schnell, flux1-pro`|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[developers.sber.ru](https://developers.sber.ru/gigachat)|`g4f.Provider.GigaChat`|✔|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
 |[gprochat.com](https://gprochat.com)|`g4f.Provider.GPROChat`|`gemini-pro`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[console.groq.com/playground](https://console.groq.com/playground)|`g4f.Provider.Groq`|✔|❌|❌|?|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
@@ -63,10 +64,7 @@ This document provides an overview of various AI providers and models, including
 |[app.myshell.ai/chat](https://app.myshell.ai/chat)|`g4f.Provider.MyShell`|✔|❌|?|?|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
 |[nexra.aryahcr.cc/bing](https://nexra.aryahcr.cc/documentation/bing/en)|`g4f.Provider.NexraBing`|✔|❌|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
 |[nexra.aryahcr.cc/blackbox](https://nexra.aryahcr.cc/documentation/blackbox/en)|`g4f.Provider.NexraBlackbox`|`blackboxai` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
-|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGPT`|`gpt-4, gpt-3.5-turbo, gpt-3` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
-|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGPT4o`|`gpt-4o` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
-|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGptV2`|`gpt-4` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
-|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGptWeb`|`gpt-4` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
+|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGPT`|`gpt-4, gpt-3.5-turbo, gpt-3, gpt-4o` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[nexra.aryahcr.cc/dall-e](https://nexra.aryahcr.cc/documentation/dall-e/en)|`g4f.Provider.NexraDallE`|❌|`dalle`|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[nexra.aryahcr.cc/dall-e](https://nexra.aryahcr.cc/documentation/dall-e/en)|`g4f.Provider.NexraDallE2`|❌|`dalle-2`|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[nexra.aryahcr.cc/emi](https://nexra.aryahcr.cc/documentation/emi/en)|`g4f.Provider.NexraEmi`|❌|`emi`|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
@@ -108,18 +106,18 @@ This document provides an overview of various AI providers and models, including
 |-------|---------------|-----------|---------|
 |gpt-3|OpenAI|1+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-base)|
 |gpt-3.5-turbo|OpenAI|5+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-3-5-turbo)|
-|gpt-4|OpenAI|33+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
-|gpt-4-turbo|OpenAI|2+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
-|gpt-4o|OpenAI|7+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o)|
+|gpt-4|OpenAI|7+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
+|gpt-4-turbo|OpenAI|3+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
+|gpt-4o|OpenAI|10+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o)|
 |gpt-4o-mini|OpenAI|14+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o-mini)|
 |o1|OpenAI|1+ Providers|[platform.openai.com](https://openai.com/index/introducing-openai-o1-preview/)|
-|o1-mini|OpenAI|1+ Providers|[platform.openai.com](https://openai.com/index/openai-o1-mini-advancing-cost-efficient-reasoning/)|
+|o1-mini|OpenAI|2+ Providers|[platform.openai.com](https://openai.com/index/openai-o1-mini-advancing-cost-efficient-reasoning/)|
 |llama-2-7b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-2-7b)|
 |llama-2-13b|Meta Llama|1+ Providers|[llama.com](https://www.llama.com/llama2/)|
 |llama-3-8b|Meta Llama|4+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3/)|
 |llama-3-70b|Meta Llama|4+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3/)|
 |llama-3.1-8b|Meta Llama|7+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
-|llama-3.1-70b|Meta Llama|13+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
+|llama-3.1-70b|Meta Llama|14+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
 |llama-3.1-405b|Meta Llama|5+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
 |llama-3.2-1b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-1B)|
 |llama-3.2-3b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/blog/llama32)|
@@ -127,17 +125,17 @@ This document provides an overview of various AI providers and models, including
 |llama-3.2-90b|Meta Llama|2+ Providers|[ai.meta.com](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/)|
 |llamaguard-7b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/LlamaGuard-7b)|
 |llamaguard-2-8b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B)|
-|mistral-7b|Mistral AI|5+ Providers|[mistral.ai](https://mistral.ai/news/announcing-mistral-7b/)|
+|mistral-7b|Mistral AI|4+ Providers|[mistral.ai](https://mistral.ai/news/announcing-mistral-7b/)|
 |mixtral-8x7b|Mistral AI|6+ Providers|[mistral.ai](https://mistral.ai/news/mixtral-of-experts/)|
 |mixtral-8x22b|Mistral AI|3+ Providers|[mistral.ai](https://mistral.ai/news/mixtral-8x22b/)|
-|mistral-nemo|Mistral AI|1+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)|
-|mistral-large|Mistral AI|1+ Providers|[mistral.ai](https://mistral.ai/news/mistral-large-2407/)|
+|mistral-nemo|Mistral AI|2+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)|
+|mistral-large|Mistral AI|2+ Providers|[mistral.ai](https://mistral.ai/news/mistral-large-2407/)|
 |mixtral-8x7b-dpo|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO)|
 |yi-34b|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B)|
-|hermes-3|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)|
+|hermes-3|NousResearch|2+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)|
 |gemini|Google DeepMind|1+ Providers|[deepmind.google](http://deepmind.google/technologies/gemini/)|
-|gemini-flash|Google DeepMind|3+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/flash/)|
-|gemini-pro|Google DeepMind|9+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/pro/)|
+|gemini-flash|Google DeepMind|4+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/flash/)|
+|gemini-pro|Google DeepMind|10+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/pro/)|
 |gemma-2b|Google|5+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2b)|
 |gemma-2b-9b|Google|1+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2-9b)|
 |gemma-2b-27b|Google|2+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2-27b)|
@@ -145,10 +143,10 @@ This document provides an overview of various AI providers and models, including
 |gemma-2|Google|2+ Providers|[huggingface.co](https://huggingface.co/blog/gemma2)|
 |gemma_2_27b|Google|1+ Providers|[huggingface.co](https://huggingface.co/blog/gemma2)|
 |claude-2.1|Anthropic|1+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-2)|
-|claude-3-haiku|Anthropic|3+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-haiku)|
+|claude-3-haiku|Anthropic|4+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-haiku)|
 |claude-3-sonnet|Anthropic|2+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-family)|
 |claude-3-opus|Anthropic|2+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-family)|
-|claude-3.5-sonnet|Anthropic|5+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-5-sonnet)|
+|claude-3.5-sonnet|Anthropic|6+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-5-sonnet)|
 |blackboxai|Blackbox AI|2+ Providers|[docs.blackbox.chat](https://docs.blackbox.chat/blackbox-ai-1)|
 |blackboxai-pro|Blackbox AI|1+ Providers|[docs.blackbox.chat](https://docs.blackbox.chat/blackbox-ai-1)|
 |yi-1.5-9b|01-ai|1+ Providers|[huggingface.co](https://huggingface.co/01-ai/Yi-1.5-9B)|
@@ -196,11 +194,12 @@ This document provides an overview of various AI providers and models, including
 ### Image Models
 | Model | Base Provider | Providers | Website |
 |-------|---------------|-----------|---------|
-|sdxl|Stability AI|2+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/en/using-diffusers/sdxl)|
+|sdxl|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/en/using-diffusers/sdxl)|
 |sdxl-lora|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/blog/lcm_lora)|
 |sdxl-turbo|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/stabilityai/sdxl-turbo)|
 |sd-1.5|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/runwayml/stable-diffusion-v1-5)|
 |sd-3|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_diffusion/stable_diffusion_3)|
+|sd-3.5|Stability AI|1+ Providers|[stability.ai](https://stability.ai/news/introducing-stable-diffusion-3-5)|
 |playground-v2.5|Playground AI|1+ Providers|[huggingface.co](https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic)|
 |flux|Black Forest Labs|2+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)|
 |flux-pro|Black Forest Labs|2+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)|
@@ -210,10 +209,9 @@ This document provides an overview of various AI providers and models, including
 |flux-disney|Flux AI|1+ Providers|[]()|
 |flux-pixel|Flux AI|1+ Providers|[]()|
 |flux-4o|Flux AI|1+ Providers|[]()|
-|flux-schnell|Black Forest Labs|1+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-schnell)|
+|flux-schnell|Black Forest Labs|2+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-schnell)|
 |dalle|OpenAI|1+ Providers|[openai.com](https://openai.com/index/dall-e/)|
 |dalle-2|OpenAI|1+ Providers|[openai.com](https://openai.com/index/dall-e-2/)|
-|dalle-3|OpenAI|2+ Providers|[openai.com](https://openai.com/index/dall-e-3/)|
 |emi||1+ Providers|[]()|
 |any-dark||1+ Providers|[]()|
 |midjourney|Midjourney|1+ Providers|[docs.midjourney.com](https://docs.midjourney.com/docs/model-versions)|
diff --git a/g4f/Provider/AI365VIP.py b/g4f/Provider/AI365VIP.py
index c7ebf6b5..511ad568 100644
--- a/g4f/Provider/AI365VIP.py
+++ b/g4f/Provider/AI365VIP.py
@@ -10,7 +10,7 @@ from .helper import format_prompt
 class AI365VIP(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://chat.ai365vip.com"
     api_endpoint = "/api/chat"
-    working = True
+    working = False
     default_model = 'gpt-3.5-turbo'
     models = [
         'gpt-3.5-turbo',
diff --git a/g4f/Provider/AiMathGPT.py b/g4f/Provider/AiMathGPT.py
index 4399320a..90931691 100644
--- a/g4f/Provider/AiMathGPT.py
+++ b/g4f/Provider/AiMathGPT.py
@@ -60,10 +60,6 @@ class AiMathGPT(AsyncGeneratorProvider, ProviderModelMixin):
             data = {
                 "messages": [
                     {
-                        "role": "system",
-                        "content": ""
-                    },
-                    {
                         "role": "user",
                         "content": format_prompt(messages)
                     }
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py
index 5cd43eed..4052893a 100644
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -51,7 +51,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         'ReactAgent',
         'XcodeAgent',
         'AngularJSAgent',
-        'RepoMap',
     ]
 
     agentMode = {
@@ -78,7 +77,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         'ReactAgent': {'mode': True, 'id': "React Agent"},
         'XcodeAgent': {'mode': True, 'id': "Xcode Agent"},
         'AngularJSAgent': {'mode': True, 'id': "AngularJS Agent"},
-        'RepoMap': {'mode': True, 'id': "repomap"},
     }
 
     userSelectedModel = {
@@ -174,7 +172,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         proxy: Optional[str] = None,
         image: ImageType = None,
         image_name: str = None,
-        websearch: bool = False,
+        web_search: bool = False,
         **kwargs
     ) -> AsyncGenerator[Union[str, ImageResponse], None]:
         """
@@ -186,7 +184,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
             proxy (Optional[str]): Proxy URL, if needed.
             image (ImageType): Image data to be processed, if any.
             image_name (str): Name of the image file, if an image is provided.
-            websearch (bool): Enables or disables web search mode.
+            web_search (bool): Enables or disables web search mode.
             **kwargs: Additional keyword arguments.
 
         Yields:
@@ -276,7 +274,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
             "clickedForceWebSearch": False,
             "visitFromDelta": False,
             "mobileClient": False,
-            "webSearchMode": websearch,
+            "webSearchMode": web_search,
             "userSelectedModel": cls.userSelectedModel.get(model, model)
         }
 
@@ -313,7 +311,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
                         else:
                             yield cleaned_response
                     else:
-                        if websearch:
+                        if web_search:
                             match = re.search(r'\$~~~\$(.*?)\$~~~\$', cleaned_response, re.DOTALL)
                             if match:
                                 source_part = match.group(1).strip()
diff --git a/g4f/Provider/GizAI.py b/g4f/Provider/GizAI.py
new file mode 100644
index 00000000..127edc9e
--- /dev/null
+++ b/g4f/Provider/GizAI.py
@@ -0,0 +1,151 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from ..image import ImageResponse
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
+class GizAI(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://app.giz.ai/assistant/"
+    api_endpoint = "https://app.giz.ai/api/data/users/inferenceServer.infer"
+    working = True
+    
+    supports_system_message = True
+    supports_message_history = True
+    
+    # Chat models
+    default_model = 'chat-gemini-flash'
+    chat_models = [
+        default_model,
+        'chat-gemini-pro',
+        'chat-gpt4m',
+        'chat-gpt4',
+        'claude-sonnet',
+        'claude-haiku',
+        'llama-3-70b',
+        'llama-3-8b',
+        'mistral-large',
+        'chat-o1-mini'
+    ]
+
+    # Image models
+    image_models = [
+        'flux1',
+        'sdxl',
+        'sd',
+        'sd35',
+    ]
+
+    models = [*chat_models, *image_models]
+    
+    model_aliases = {
+        # Chat model aliases
+        "gemini-flash": "chat-gemini-flash",
+        "gemini-pro": "chat-gemini-pro",
+        "gpt-4o-mini": "chat-gpt4m",
+        "gpt-4o": "chat-gpt4",
+        "claude-3.5-sonnet": "claude-sonnet",
+        "claude-3-haiku": "claude-haiku",
+        "llama-3.1-70b": "llama-3-70b",
+        "llama-3.1-8b": "llama-3-8b",
+        "o1-mini": "chat-o1-mini",
+        # Image model aliases
+        "sd-1.5": "sd",
+        "sd-3.5": "sd35",
+        "flux-schnell": "flux1",
+    }
+
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        if model in cls.models:
+            return model
+        elif model in cls.model_aliases:
+            return cls.model_aliases[model]
+        else:
+            return cls.default_model
+
+    @classmethod
+    def is_image_model(cls, model: str) -> bool:
+        return model in cls.image_models
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            'Accept': 'application/json, text/plain, */*',
+            'Accept-Language': 'en-US,en;q=0.9',
+            'Cache-Control': 'no-cache',
+            'Connection': 'keep-alive',
+            'Content-Type': 'application/json',
+            'Origin': 'https://app.giz.ai',
+            'Pragma': 'no-cache',
+            'Sec-Fetch-Dest': 'empty',
+            'Sec-Fetch-Mode': 'cors',
+            'Sec-Fetch-Site': 'same-origin',
+            'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36',
+            'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"Linux"'
+        }
+
+        async with ClientSession() as session:
+            if cls.is_image_model(model):
+                # Image generation
+                prompt = messages[-1]["content"]
+                data = {
+                    "model": model,
+                    "input": {
+                        "width": "1024",
+                        "height": "1024",
+                        "steps": 4,
+                        "output_format": "webp",
+                        "batch_size": 1,
+                        "mode": "plan",
+                        "prompt": prompt
+                    }
+                }
+                async with session.post(
+                    cls.api_endpoint,
+                    headers=headers,
+                    data=json.dumps(data),
+                    proxy=proxy
+                ) as response:
+                    response.raise_for_status()
+                    response_data = await response.json()
+                    if response_data.get('status') == 'completed' and response_data.get('output'):
+                        for url in response_data['output']:
+                            yield ImageResponse(images=url, alt="Generated Image")
+            else:
+                # Chat completion
+                data = {
+                    "model": model,
+                    "input": {
+                        "messages": [
+                            {
+                                "type": "human",
+                                "content": format_prompt(messages)
+                            }
+                        ],
+                        "mode": "plan"
+                    },
+                    "noStream": True
+                }
+                async with session.post(
+                    cls.api_endpoint,
+                    headers=headers,
+                    data=json.dumps(data),
+                    proxy=proxy
+                ) as response:
+                    response.raise_for_status()
+                    result = await response.json()
+                    yield result.get('output', '')
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 8f36606b..1caf8aaf 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -47,6 +47,7 @@ from .FreeChatgpt      import FreeChatgpt
 from .FreeGpt          import FreeGpt
 from .FreeNetfly       import FreeNetfly
 from .GeminiPro        import GeminiPro
+from .GizAI            import GizAI
 from .GPROChat         import GPROChat
 from .HuggingChat      import HuggingChat
 from .HuggingFace      import HuggingFace
diff --git a/g4f/Provider/nexra/NexraChatGPT.py b/g4f/Provider/nexra/NexraChatGPT.py
index fc5051ee..074a0363 100644
--- a/g4f/Provider/nexra/NexraChatGPT.py
+++ b/g4f/Provider/nexra/NexraChatGPT.py
@@ -1,45 +1,52 @@
 from __future__ import annotations
 
+import asyncio
 import json
 import requests
+from typing import Any, Dict
 
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..helper import format_prompt
 
-class NexraChatGPT(AbstractProvider, ProviderModelMixin):
+
+class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra ChatGPT"
     url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt"
+    api_endpoint_nexra_chatgpt = "https://nexra.aryahcr.cc/api/chat/gpt"
+    api_endpoint_nexra_chatgpt4o = "https://nexra.aryahcr.cc/api/chat/complements"
+    api_endpoint_nexra_chatgpt_v2 = "https://nexra.aryahcr.cc/api/chat/complements"
+    api_endpoint_nexra_gptweb = "https://nexra.aryahcr.cc/api/chat/gptweb"
     working = True
+    supports_system_message = True
+    supports_message_history = True
+    supports_stream = True
     
     default_model = 'gpt-3.5-turbo'
-    models = ['gpt-4', 'gpt-4-0613', 'gpt-4-0314', 'gpt-4-32k-0314', default_model, 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002', 'gpt-3', 'text-curie-001', 'text-babbage-001', 'text-ada-001', 'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002']
+    nexra_chatgpt = [
+        'gpt-4', 'gpt-4-0613', 'gpt-4-0314', 'gpt-4-32k-0314',
+        default_model, 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301', 
+        'text-davinci-003', 'text-davinci-002', 'code-davinci-002', 'gpt-3', 'text-curie-001', 'text-babbage-001', 'text-ada-001', 'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002'
+    ]
+    nexra_chatgpt4o = ['gpt-4o']
+    nexra_chatgptv2 = ['chatgpt']
+    nexra_gptweb = ['gptweb']
+    models = nexra_chatgpt + nexra_chatgpt4o + nexra_chatgptv2 + nexra_gptweb
     
     model_aliases = {
         "gpt-4": "gpt-4-0613",
-        "gpt-4": "gpt-4-32k",
-        "gpt-4": "gpt-4-0314",
-        "gpt-4": "gpt-4-32k-0314",
-        
+        "gpt-4-32k": "gpt-4-32k-0314",
         "gpt-3.5-turbo": "gpt-3.5-turbo-16k",
-        "gpt-3.5-turbo": "gpt-3.5-turbo-0613",
-        "gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613",
-        "gpt-3.5-turbo": "gpt-3.5-turbo-0301",
-        
+        "gpt-3.5-turbo-0613": "gpt-3.5-turbo-16k-0613",
         "gpt-3": "text-davinci-003",
-        "gpt-3": "text-davinci-002",
-        "gpt-3": "code-davinci-002",
-        "gpt-3": "text-curie-001",
-        "gpt-3": "text-babbage-001",
-        "gpt-3": "text-ada-001",
-        "gpt-3": "text-ada-001",
-        "gpt-3": "davinci",
-        "gpt-3": "curie",
-        "gpt-3": "babbage",
-        "gpt-3": "ada",
-        "gpt-3": "babbage-002",
-        "gpt-3": "davinci-002",
+        "text-davinci-002": "code-davinci-002",
+        "text-curie-001": "text-babbage-001",
+        "text-ada-001": "davinci",
+        "curie": "babbage",
+        "ada": "babbage-002",
+        "davinci-002": "davinci-002",
+        "chatgpt": "chatgpt",
+        "gptweb": "gptweb"
     }
 
     @classmethod
@@ -50,40 +57,229 @@ class NexraChatGPT(AbstractProvider, ProviderModelMixin):
             return cls.model_aliases[model]
         else:
             return cls.default_model
-            
+
     @classmethod
-    def create_completion(
+    async def create_async_generator(
         cls,
         model: str,
         messages: Messages,
+        stream: bool = False,
         proxy: str = None,
         markdown: bool = False,
         **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
+    ) -> AsyncResult:
+        if model in cls.nexra_chatgpt:
+            async for chunk in cls._create_async_generator_nexra_chatgpt(model, messages, proxy, **kwargs):
+                yield chunk
+        elif model in cls.nexra_chatgpt4o:
+            async for chunk in cls._create_async_generator_nexra_chatgpt4o(model, messages, stream, proxy, markdown, **kwargs):
+                yield chunk
+        elif model in cls.nexra_chatgptv2:
+            async for chunk in cls._create_async_generator_nexra_chatgpt_v2(model, messages, stream, proxy, markdown, **kwargs):
+                yield chunk
+        elif model in cls.nexra_gptweb:
+            async for chunk in cls._create_async_generator_nexra_gptweb(model, messages, proxy, **kwargs):
+                yield chunk
 
+    @classmethod
+    async def _create_async_generator_nexra_chatgpt(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
         headers = {
-            'Content-Type': 'application/json'
+            "Content-Type": "application/json"
         }
         
+        prompt = format_prompt(messages)
         data = {
-            "messages": [],
-            "prompt": format_prompt(messages),
+            "messages": messages,
+            "prompt": prompt,
             "model": model,
             "markdown": markdown
         }
+
+        loop = asyncio.get_event_loop()
+        try:
+            response = await loop.run_in_executor(None, cls._sync_post_request, cls.api_endpoint_nexra_chatgpt, data, headers, proxy)
+            filtered_response = cls._filter_response(response)
+            
+            for chunk in filtered_response:
+                yield chunk
+        except Exception as e:
+            print(f"Error during API request (nexra_chatgpt): {e}")
+
+    @classmethod
+    async def _create_async_generator_nexra_chatgpt4o(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool = False,
+        proxy: str = None,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
         
-        response = requests.post(cls.api_endpoint, headers=headers, json=data)
+        headers = {
+            "Content-Type": "application/json"
+        }
+        
+        prompt = format_prompt(messages)
+        data = {
+            "messages": [
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ],
+            "stream": stream,
+            "markdown": markdown,
+            "model": model
+        }
 
-        return cls.process_response(response)
+        loop = asyncio.get_event_loop()
+        try:
+            response = await loop.run_in_executor(None, cls._sync_post_request, cls.api_endpoint_nexra_chatgpt4o, data, headers, proxy, stream)
+            
+            if stream:
+                async for chunk in cls._process_streaming_response(response):
+                    yield chunk
+            else:
+                for chunk in cls._process_non_streaming_response(response):
+                    yield chunk
+        except Exception as e:
+            print(f"Error during API request (nexra_chatgpt4o): {e}")
 
     @classmethod
-    def process_response(cls, response):
+    async def _create_async_generator_nexra_chatgpt_v2(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool = False,
+        proxy: str = None,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            "Content-Type": "application/json"
+        }
+        
+        prompt = format_prompt(messages)
+        data = {
+            "messages": [
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ],
+            "stream": stream,
+            "markdown": markdown,
+            "model": model
+        }
+
+        loop = asyncio.get_event_loop()
+        try:
+            response = await loop.run_in_executor(None, cls._sync_post_request, cls.api_endpoint_nexra_chatgpt_v2, data, headers, proxy, stream)
+            
+            if stream:
+                async for chunk in cls._process_streaming_response(response):
+                    yield chunk
+            else:
+                for chunk in cls._process_non_streaming_response(response):
+                    yield chunk
+        except Exception as e:
+            print(f"Error during API request (nexra_chatgpt_v2): {e}")
+
+    @classmethod
+    async def _create_async_generator_nexra_gptweb(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            "Content-Type": "application/json"
+        }
+        
+        prompt = format_prompt(messages)
+        data = {
+            "prompt": prompt,
+            "markdown": markdown,
+        }
+
+        loop = asyncio.get_event_loop()
+        try:
+            response = await loop.run_in_executor(None, cls._sync_post_request, cls.api_endpoint_nexra_gptweb, data, headers, proxy)
+            
+            for chunk in response.iter_content(1024):
+                if chunk:
+                    decoded_chunk = chunk.decode().lstrip('_')
+                    try:
+                        response_json = json.loads(decoded_chunk)
+                        if response_json.get("status"):
+                            yield response_json.get("gpt", "")
+                    except json.JSONDecodeError:
+                        continue
+        except Exception as e:
+            print(f"Error during API request (nexra_gptweb): {e}")
+
+    @staticmethod
+    def _sync_post_request(url: str, data: Dict[str, Any], headers: Dict[str, str], proxy: str = None, stream: bool = False) -> requests.Response:
+        proxies = {
+            "http": proxy,
+            "https": proxy,
+        } if proxy else None
+        
+        try:
+            response = requests.post(url, json=data, headers=headers, proxies=proxies, stream=stream)
+            response.raise_for_status()
+            return response
+        except requests.RequestException as e:
+            print(f"Request failed: {e}")
+            raise
+
+    @staticmethod
+    def _process_non_streaming_response(response: requests.Response) -> str:
         if response.status_code == 200:
             try:
-                data = response.json()
-                return data.get('gpt', '')
+                content = response.text.lstrip('')
+                data = json.loads(content)
+                return data.get('message', '')
             except json.JSONDecodeError:
                 return "Error: Unable to decode JSON response"
         else:
             return f"Error: {response.status_code}"
+
+    @staticmethod
+    async def _process_streaming_response(response: requests.Response):
+        full_message = ""
+        for line in response.iter_lines(decode_unicode=True):
+            if line:
+                try:
+                    line = line.lstrip('')
+                    data = json.loads(line)
+                    if data.get('finish'):
+                        break
+                    message = data.get('message', '')
+                    if message:
+                        yield message[len(full_message):]
+                        full_message = message
+                except json.JSONDecodeError:
+                    pass
+
+    @staticmethod
+    def _filter_response(response: requests.Response) -> str:
+        response_json = response.json()
+        return response_json.get("gpt", "")
diff --git a/g4f/Provider/nexra/NexraChatGPT4o.py b/g4f/Provider/nexra/NexraChatGPT4o.py
deleted file mode 100644
index 126d32b8..00000000
--- a/g4f/Provider/nexra/NexraChatGPT4o.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from __future__ import annotations
-
-import json
-import requests
-
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
-from ..helper import format_prompt
-
-class NexraChatGPT4o(AbstractProvider, ProviderModelMixin):
-    label = "Nexra ChatGPT4o"
-    url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
-    working = True
-    supports_stream = True
-    
-    default_model = "gpt-4o"
-    models = [default_model]
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        return cls.default_model
-            
-    @classmethod
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        markdown: bool = False,
-        **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
-
-        headers = {
-            'Content-Type': 'application/json'
-        }
-        
-        data = {
-            "messages": [
-                {
-                    "role": "user",
-                    "content": format_prompt(messages)
-                }
-            ],
-            "stream": stream,
-            "markdown": markdown,
-            "model": model
-        }
-        
-        response = requests.post(cls.api_endpoint, headers=headers, json=data, stream=stream)
-
-        if stream:
-            return cls.process_streaming_response(response)
-        else:
-            return cls.process_non_streaming_response(response)
-
-    @classmethod
-    def process_non_streaming_response(cls, response):
-        if response.status_code == 200:
-            try:
-                content = response.text.lstrip('')
-                data = json.loads(content)
-                return data.get('message', '')
-            except json.JSONDecodeError:
-                return "Error: Unable to decode JSON response"
-        else:
-            return f"Error: {response.status_code}"
-
-    @classmethod
-    def process_streaming_response(cls, response):
-        full_message = ""
-        for line in response.iter_lines(decode_unicode=True):
-            if line:
-                try:
-                    line = line.lstrip('')
-                    data = json.loads(line)
-                    if data.get('finish'):
-                        break
-                    message = data.get('message', '')
-                    if message and message != full_message:
-                        yield message[len(full_message):]
-                        full_message = message
-                except json.JSONDecodeError:
-                    pass
diff --git a/g4f/Provider/nexra/NexraChatGptV2.py b/g4f/Provider/nexra/NexraChatGptV2.py
deleted file mode 100644
index 1ff42705..00000000
--- a/g4f/Provider/nexra/NexraChatGptV2.py
+++ /dev/null
@@ -1,92 +0,0 @@
-from __future__ import annotations
-
-import json
-import requests
-
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
-from ..helper import format_prompt
-
-class NexraChatGptV2(AbstractProvider, ProviderModelMixin):
-    label = "Nexra ChatGPT v2"
-    url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
-    working = True
-    supports_stream = True
-    
-    default_model = 'chatgpt'
-    models = [default_model]
-    model_aliases = {"gpt-4": "chatgpt"}
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
-        else:
-            return cls.default_model
-            
-    @classmethod
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        markdown: bool = False,
-        **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
-
-        headers = {
-            'Content-Type': 'application/json'
-        }
-        
-        data = {
-            "messages": [
-                {
-                    "role": "user",
-                    "content": format_prompt(messages)
-                }
-            ],
-            "stream": stream,
-            "markdown": markdown,
-            "model": model
-        }
-        
-        response = requests.post(cls.api_endpoint, headers=headers, json=data, stream=stream)
-
-        if stream:
-            return cls.process_streaming_response(response)
-        else:
-            return cls.process_non_streaming_response(response)
-
-    @classmethod
-    def process_non_streaming_response(cls, response):
-        if response.status_code == 200:
-            try:
-                content = response.text.lstrip('')
-                data = json.loads(content)
-                return data.get('message', '')
-            except json.JSONDecodeError:
-                return "Error: Unable to decode JSON response"
-        else:
-            return f"Error: {response.status_code}"
-
-    @classmethod
-    def process_streaming_response(cls, response):
-        full_message = ""
-        for line in response.iter_lines(decode_unicode=True):
-            if line:
-                try:
-                    line = line.lstrip('')
-                    data = json.loads(line)
-                    if data.get('finish'):
-                        break
-                    message = data.get('message', '')
-                    if message:
-                        yield message[len(full_message):]
-                        full_message = message
-                except json.JSONDecodeError:
-                    pass
diff --git a/g4f/Provider/nexra/NexraChatGptWeb.py b/g4f/Provider/nexra/NexraChatGptWeb.py
deleted file mode 100644
index f82694d4..00000000
--- a/g4f/Provider/nexra/NexraChatGptWeb.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from __future__ import annotations
-
-import json
-import requests
-
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
-from ..helper import format_prompt
-
-class NexraChatGptWeb(AbstractProvider, ProviderModelMixin):
-    label = "Nexra ChatGPT Web"
-    url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    working = True
-    
-    default_model = "gptweb"
-    models = [default_model]
-    model_aliases = {"gpt-4": "gptweb"}
-    api_endpoints = {"gptweb": "https://nexra.aryahcr.cc/api/chat/gptweb"}
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
-        else:
-            return cls.default_model
-            
-    @classmethod
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        markdown: bool = False,
-        **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
-        api_endpoint = cls.api_endpoints.get(model, cls.api_endpoints[cls.default_model])
-
-        headers = {
-            'Content-Type': 'application/json'
-        }
-        
-        data = {
-            "prompt": format_prompt(messages),
-            "markdown": markdown
-        }
-        
-        response = requests.post(api_endpoint, headers=headers, json=data)
-
-        return cls.process_response(response)
-
-    @classmethod
-    def process_response(cls, response):
-        if response.status_code == 200:
-            try:
-                content = response.text.lstrip('_')
-                json_response = json.loads(content)
-                return json_response.get('gpt', '')
-            except json.JSONDecodeError:
-                return "Error: Unable to decode JSON response"
-        else:
-            return f"Error: {response.status_code}"
diff --git a/g4f/Provider/nexra/__init__.py b/g4f/Provider/nexra/__init__.py
index 6121fdc0..bebc1fb6 100644
--- a/g4f/Provider/nexra/__init__.py
+++ b/g4f/Provider/nexra/__init__.py
@@ -1,9 +1,6 @@
 from .NexraBing                import NexraBing
 from .NexraBlackbox            import NexraBlackbox
 from .NexraChatGPT             import NexraChatGPT
-from .NexraChatGPT4o           import NexraChatGPT4o
-from .NexraChatGptV2           import NexraChatGptV2
-from .NexraChatGptWeb          import NexraChatGptWeb
 from .NexraDallE               import NexraDallE
 from .NexraDallE2              import NexraDallE2
 from .NexraEmi                 import NexraEmi
diff --git a/g4f/api/__init__.py b/g4f/api/__init__.py
index 83df469a..754a48f1 100644
--- a/g4f/api/__init__.py
+++ b/g4f/api/__init__.py
@@ -14,17 +14,18 @@ from starlette.status import HTTP_422_UNPROCESSABLE_ENTITY, HTTP_401_UNAUTHORIZE
 from fastapi.encoders import jsonable_encoder
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
-from typing import Union, Optional
+from typing import Union, Optional, Iterator
 
 import g4f
 import g4f.debug
-from g4f.client import Client
+from g4f.client import Client, ChatCompletion, ChatCompletionChunk, ImagesResponse
 from g4f.typing import Messages
 from g4f.cookies import read_cookie_files
 
-def create_app():
+def create_app(g4f_api_key: str = None):
     app = FastAPI()
-    api = Api(app)
+
+    # Add CORS middleware
     app.add_middleware(
         CORSMiddleware,
         allow_origin_regex=".*",
@@ -32,18 +33,19 @@ def create_app():
         allow_methods=["*"],
         allow_headers=["*"],
     )
+
+    api = Api(app, g4f_api_key=g4f_api_key)
     api.register_routes()
     api.register_authorization()
     api.register_validation_exception_handler()
+
+    # Read cookie files if not ignored
     if not AppConfig.ignore_cookie_files:
         read_cookie_files()
-    return app
 
-def create_app_debug():
-    g4f.debug.logging = True
-    return create_app()
+    return app
 
-class ChatCompletionsForm(BaseModel):
+class ChatCompletionsConfig(BaseModel):
     messages: Messages
     model: str
     provider: Optional[str] = None
@@ -55,15 +57,12 @@ class ChatCompletionsForm(BaseModel):
     web_search: Optional[bool] = None
     proxy: Optional[str] = None
 
-class ImagesGenerateForm(BaseModel):
-    model: Optional[str] = None
-    provider: Optional[str] = None
+class ImageGenerationConfig(BaseModel):
     prompt: str
-    response_format: Optional[str] = None
-    api_key: Optional[str] = None
-    proxy: Optional[str] = None
+    model: Optional[str] = None
+    response_format: str = "url"
 
-class AppConfig():
+class AppConfig:
     ignored_providers: Optional[list[str]] = None
     g4f_api_key: Optional[str] = None
     ignore_cookie_files: bool = False
@@ -74,16 +73,23 @@ class AppConfig():
         for key, value in data.items():
             setattr(cls, key, value)
 
+list_ignored_providers: list[str] = None
+
+def set_list_ignored_providers(ignored: list[str]):
+    global list_ignored_providers
+    list_ignored_providers = ignored
+
 class Api:
-    def __init__(self, app: FastAPI) -> None:
+    def __init__(self, app: FastAPI, g4f_api_key=None) -> None:
         self.app = app
         self.client = Client()
+        self.g4f_api_key = g4f_api_key
         self.get_g4f_api_key = APIKeyHeader(name="g4f-api-key")
 
     def register_authorization(self):
         @self.app.middleware("http")
         async def authorization(request: Request, call_next):
-            if AppConfig.g4f_api_key and request.url.path in ["/v1/chat/completions", "/v1/completions"]:
+            if self.g4f_api_key and request.url.path in ["/v1/chat/completions", "/v1/completions", "/v1/images/generate"]:
                 try:
                     user_g4f_api_key = await self.get_g4f_api_key(request)
                 except HTTPException as e:
@@ -92,22 +98,26 @@ class Api:
                             status_code=HTTP_401_UNAUTHORIZED,
                             content=jsonable_encoder({"detail": "G4F API key required"}),
                         )
-                if not secrets.compare_digest(AppConfig.g4f_api_key, user_g4f_api_key):
+                if not secrets.compare_digest(self.g4f_api_key, user_g4f_api_key):
                     return JSONResponse(
                         status_code=HTTP_403_FORBIDDEN,
                         content=jsonable_encoder({"detail": "Invalid G4F API key"}),
                     )
-            return await call_next(request)
+
+            response = await call_next(request)
+            return response
 
     def register_validation_exception_handler(self):
         @self.app.exception_handler(RequestValidationError)
         async def validation_exception_handler(request: Request, exc: RequestValidationError):
             details = exc.errors()
-            modified_details = [{
-                "loc": error["loc"],
-                "message": error["msg"],
-                "type": error["type"],
-            } for error in details]
+            modified_details = []
+            for error in details:
+                modified_details.append({
+                    "loc": error["loc"],
+                    "message": error["msg"],
+                    "type": error["type"],
+                })
             return JSONResponse(
                 status_code=HTTP_422_UNPROCESSABLE_ENTITY,
                 content=jsonable_encoder({"detail": modified_details}),
@@ -121,25 +131,23 @@ class Api:
         @self.app.get("/v1")
         async def read_root_v1():
             return HTMLResponse('g4f API: Go to '
-                                '<a href="/v1/chat/completions">chat/completions</a> '
-                                'or <a href="/v1/models">models</a>.')
+                                '<a href="/v1/chat/completions">chat/completions</a>, '
+                                '<a href="/v1/models">models</a>, or '
+                                '<a href="/v1/images/generate">images/generate</a>.')
 
         @self.app.get("/v1/models")
         async def models():
-            model_list = {
-                model: g4f.models.ModelUtils.convert[model]
+            model_list = dict(
+                (model, g4f.models.ModelUtils.convert[model])
                 for model in g4f.Model.__all__()
-            }
+            )
             model_list = [{
                 'id': model_id,
                 'object': 'model',
                 'created': 0,
                 'owned_by': model.base_provider
             } for model_id, model in model_list.items()]
-            return JSONResponse({
-                "object": "list",
-                "data": model_list,
-            })
+            return JSONResponse(model_list)
 
         @self.app.get("/v1/models/{model_name}")
         async def model_info(model_name: str):
@@ -155,7 +163,7 @@ class Api:
                 return JSONResponse({"error": "The model does not exist."})
 
         @self.app.post("/v1/chat/completions")
-        async def chat_completions(config: ChatCompletionsForm, request: Request = None, provider: str = None):
+        async def chat_completions(config: ChatCompletionsConfig, request: Request = None, provider: str = None):
             try:
                 config.provider = provider if config.provider is None else config.provider
                 if config.api_key is None and request is not None:
@@ -164,17 +172,27 @@ class Api:
                         auth_header = auth_header.split(None, 1)[-1]
                         if auth_header and auth_header != "Bearer":
                             config.api_key = auth_header
-                # Use the asynchronous create method and await it
-                response = await self.client.chat.completions.async_create(
+
+                # Create the completion response
+                response = self.client.chat.completions.create(
                     **{
                         **AppConfig.defaults,
                         **config.dict(exclude_none=True),
                     },
                     ignored=AppConfig.ignored_providers
                 )
-                if not config.stream:
+
+                # Check if the response is synchronous or asynchronous
+                if isinstance(response, ChatCompletion):
+                    # Synchronous response
                     return JSONResponse(response.to_json())
 
+                if not config.stream:
+                    # If the response is an iterator but not streaming, collect the result
+                    response_list = list(response) if isinstance(response, Iterator) else [response]
+                    return JSONResponse(response_list[0].to_json())
+
+                # Streaming response
                 async def streaming():
                     try:
                         async for chunk in response:
@@ -185,41 +203,38 @@ class Api:
                         logging.exception(e)
                         yield f'data: {format_exception(e, config)}\n\n'
                     yield "data: [DONE]\n\n"
+
                 return StreamingResponse(streaming(), media_type="text/event-stream")
 
             except Exception as e:
                 logging.exception(e)
                 return Response(content=format_exception(e, config), status_code=500, media_type="application/json")
 
-        @self.app.post("/v1/completions")
-        async def completions():
-            return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")
-
-        @self.app.post("/v1/images/generations")
-        async def images_generate(config: ImagesGenerateForm, request: Request = None, provider: str = None):
+        @self.app.post("/v1/images/generate")
+        async def generate_image(config: ImageGenerationConfig):
             try:
-                config.provider = provider if config.provider is None else config.provider
-                if config.api_key is None and request is not None:
-                    auth_header = request.headers.get("Authorization")
-                    if auth_header is not None:
-                        auth_header = auth_header.split(None, 1)[-1]
-                        if auth_header and auth_header != "Bearer":
-                            config.api_key = auth_header
-                # Use the asynchronous generate method and await it
-                response = await self.client.images.async_generate(
-                    **config.dict(exclude_none=True),
+                response: ImagesResponse = await self.client.images.async_generate(
+                    prompt=config.prompt,
+                    model=config.model,
+                    response_format=config.response_format
                 )
-                return JSONResponse(response.to_json())
+                # Convert Image objects to dictionaries
+                response_data = [image.to_dict() for image in response.data]
+                return JSONResponse({"data": response_data})
             except Exception as e:
                 logging.exception(e)
                 return Response(content=format_exception(e, config), status_code=500, media_type="application/json")
 
-def format_exception(e: Exception, config: ChatCompletionsForm) -> str:
+        @self.app.post("/v1/completions")
+        async def completions():
+            return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")
+
+def format_exception(e: Exception, config: Union[ChatCompletionsConfig, ImageGenerationConfig]) -> str:
     last_provider = g4f.get_last_provider(True)
     return json.dumps({
         "error": {"message": f"{e.__class__.__name__}: {e}"},
-        "model": last_provider.get("model") if last_provider else config.model,
-        "provider": last_provider.get("name") if last_provider else config.provider
+        "model": last_provider.get("model") if last_provider else getattr(config, 'model', None),
+        "provider": last_provider.get("name") if last_provider else getattr(config, 'provider', None)
     })
 
 def run_api(
@@ -228,18 +243,22 @@ def run_api(
     bind: str = None,
     debug: bool = False,
     workers: int = None,
-    use_colors: bool = None
+    use_colors: bool = None,
+    g4f_api_key: str = None
 ) -> None:
     print(f'Starting server... [g4f v-{g4f.version.utils.current_version}]' + (" (debug)" if debug else ""))
     if use_colors is None:
         use_colors = debug
     if bind is not None:
         host, port = bind.split(":")
+    if debug:
+        g4f.debug.logging = True
     uvicorn.run(
-        f"g4f.api:create_app{'_debug' if debug else ''}",
-        host=host, port=int(port),
-        workers=workers,
-        use_colors=use_colors,
-        factory=True,
+        "g4f.api:create_app", 
+        host=host, 
+        port=int(port), 
+        workers=workers, 
+        use_colors=use_colors, 
+        factory=True, 
         reload=debug
     )
diff --git a/g4f/client/client.py b/g4f/client/client.py
index cb5427f9..8e195213 100644
--- a/g4f/client/client.py
+++ b/g4f/client/client.py
@@ -531,3 +531,4 @@ class Images:
     async def create_variation(self, image: Union[str, bytes], model: str = None, response_format: str = "url", **kwargs):
         # Existing implementation, adjust if you want to support b64_json here as well
         pass
+
diff --git a/g4f/gui/client/index.html b/g4f/gui/client/index.html
index 1a660062..7e8ef09c 100644
--- a/g4f/gui/client/index.html
+++ b/g4f/gui/client/index.html
@@ -224,28 +224,35 @@
                 </div>
             </div>
             <div class="buttons">
-                <div class="field">
-                    <select name="model" id="model">
-                        <option value="">Model: Default</option>
-                        <option value="gpt-4">gpt-4</option>
-                        <option value="gpt-3.5-turbo">gpt-3.5-turbo</option>
-                        <option value="llama-3-70b-chat">llama-3-70b-chat</option>
-                        <option value="llama-3.1-70b">llama-3.1-70b</option>
-                        <option value="gemini-pro">gemini-pro</option>
-                        <option value="">----</option>
-                    </select>
-                    <select name="model2" id="model2" class="hidden"></select>
-                </div>
-                <div class="field">
-                    <select name="provider" id="provider">
-                        <option value="">Provider: Auto</option>
-                        <option value="Bing">Bing</option>
-                        <option value="OpenaiChat">OpenAI ChatGPT</option>
-                        <option value="Gemini">Gemini</option>
-                        <option value="Liaobots">Liaobots</option>
-                        <option value="MetaAI">Meta AI</option>
-                        <option value="You">You</option>
-                        <option value="">----</option>
+               <div class="field">
+                  <select name="model" id="model">
+                     <option value="">Model: Default</option>
+                     <option value="gpt-4">gpt-4</option>
+                     <option value="gpt-4o">gpt-4o</option>
+                     <option value="gpt-4o-mini">gpt-4o-mini</option>
+                     <option value="llama-3.1-70b">llama-3.1-70b</option>
+                     <option value="llama-3.1-70b">llama-3.1-405b</option>
+                     <option value="llama-3.1-70b">mixtral-8x7b</option>
+                     <option value="gemini-pro">gemini-pro</option>
+                     <option value="gemini-flash">gemini-flash</option>
+                     <option value="claude-3-haiku">claude-3-haiku</option>
+                     <option value="claude-3.5-sonnet">claude-3.5-sonnet</option>
+                     <option value="">----</option>
+                  </select>
+                  <select name="model2" id="model2" class="hidden"></select>
+               </div>
+               <div class="field">
+                  <select name="provider" id="provider">
+                     <option value="">Provider: Auto</option>
+                     <option value="OpenaiChat">OpenAI ChatGPT</option>
+                     <option value="Gemini">Gemini</option>
+                     <option value="MetaAI">Meta AI</option>
+                     <option value="DeepInfraChat">DeepInfraChat</option>
+                     <option value="Blackbox">Blackbox</option>
+                     <option value="HuggingChat">HuggingChat</option>
+                     <option value="DDG">DDG</option>
+                     <option value="Pizzagpt">Pizzagpt</option>
+                     <option value="">----</option>
                     </select>
                 </div>
             </div>
diff --git a/g4f/gui/client/static/js/chat.v1.js b/g4f/gui/client/static/js/chat.v1.js
index d5a1ffaa..42ddb129 100644
--- a/g4f/gui/client/static/js/chat.v1.js
+++ b/g4f/gui/client/static/js/chat.v1.js
@@ -338,6 +338,14 @@ const prepare_messages = (messages, message_index = -1) => {
         messages = messages.filter((_, index) => message_index >= index);
     }
 
+    let new_messages = [];
+    if (systemPrompt?.value) {
+        new_messages.push({
+            "role": "system",
+            "content": systemPrompt.value
+        });
+    }
+
     // Remove history, if it's selected
     if (document.getElementById('history')?.checked) {
         if (message_index == null) {
@@ -347,13 +355,6 @@ const prepare_messages = (messages, message_index = -1) => {
         }
     }
 
-    let new_messages = [];
-    if (systemPrompt?.value) {
-        new_messages.push({
-            "role": "system",
-            "content": systemPrompt.value
-        });
-    }
     messages.forEach((new_message) => {
         // Include only not regenerated messages
         if (new_message && !new_message.regenerate) {
@@ -366,6 +367,7 @@ const prepare_messages = (messages, message_index = -1) => {
     return new_messages;
 }
 
+
 async function add_message_chunk(message) {
     if (message.type == "conversation") {
         console.info("Conversation used:", message.conversation)
diff --git a/g4f/gui/server/api.py b/g4f/gui/server/api.py
index 57f3eaa1..7aac650a 100644
--- a/g4f/gui/server/api.py
+++ b/g4f/gui/server/api.py
@@ -2,12 +2,11 @@ from __future__ import annotations
 
 import logging
 import os
-import os.path
 import uuid
 import asyncio
 import time
 from aiohttp import ClientSession
-from typing import Iterator, Optional
+from typing import Iterator, Optional, AsyncIterator, Union
 from flask import send_from_directory
 
 from g4f import version, models
@@ -20,21 +19,20 @@ from g4f.Provider import ProviderType, __providers__, __map__
 from g4f.providers.base_provider import ProviderModelMixin, FinishReason
 from g4f.providers.conversation import BaseConversation
 
-conversations: dict[dict[str, BaseConversation]] = {}
+# Define the directory for generated images
 images_dir = "./generated_images"
 
+# Function to ensure the images directory exists
+def ensure_images_dir():
+    if not os.path.exists(images_dir):
+        os.makedirs(images_dir)
+
+conversations: dict[dict[str, BaseConversation]] = {}
+
 
 class Api:
     @staticmethod
     def get_models() -> list[str]:
-        """
-        Return a list of all models.
-
-        Fetches and returns a list of all available models in the system.
-
-        Returns:
-            List[str]: A list of model names.
-        """
         return models._all_models
 
     @staticmethod
@@ -82,9 +80,6 @@ class Api:
 
     @staticmethod
     def get_providers() -> list[str]:
-        """
-        Return a list of all working providers.
-        """
         return {
             provider.__name__: (
                 provider.label if hasattr(provider, "label") else provider.__name__
@@ -99,12 +94,6 @@ class Api:
 
     @staticmethod
     def get_version():
-        """
-        Returns the current and latest version of the application.
-
-        Returns:
-            dict: A dictionary containing the current and latest version.
-        """
         try:
             current_version = version.utils.current_version
         except VersionNotFoundError:
@@ -115,18 +104,10 @@ class Api:
         }
 
     def serve_images(self, name):
+        ensure_images_dir()
         return send_from_directory(os.path.abspath(images_dir), name)
 
     def _prepare_conversation_kwargs(self, json_data: dict, kwargs: dict):
-        """
-        Prepares arguments for chat completion based on the request data.
-
-        Reads the request and prepares the necessary arguments for handling 
-        a chat completion request.
-
-        Returns:
-            dict: Arguments prepared for chat completion.
-        """
         model = json_data.get('model') or models.default
         provider = json_data.get('provider')
         messages = json_data['messages']
@@ -134,7 +115,7 @@ class Api:
         if api_key is not None:
             kwargs["api_key"] = api_key
         if json_data.get('web_search'):
-            if provider in ("Bing", "HuggingChat"):
+            if provider:
                 kwargs['web_search'] = True
             else:
                 from .internet import get_search_message
@@ -159,13 +140,11 @@ class Api:
             result = ChatCompletion.create(**kwargs)
             first = True
             if isinstance(result, ImageResponse):
-                # Якщо результат є ImageResponse, обробляємо його як одиночний елемент
                 if first:
                     first = False
                     yield self._format_json("provider", get_last_provider(True))
                 yield self._format_json("content", str(result))
             else:
-                # Якщо результат є ітерабельним, обробляємо його як раніше
                 for chunk in result:
                     if first:
                         first = False
@@ -181,7 +160,6 @@ class Api:
                     elif isinstance(chunk, ImagePreview):
                         yield self._format_json("preview", chunk.to_string())
                     elif isinstance(chunk, ImageResponse):
-                        # Обробка ImageResponse
                         images = asyncio.run(self._copy_images(chunk.get_list(), chunk.options.get("cookies")))
                         yield self._format_json("content", str(ImageResponse(images, chunk.alt)))
                     elif not isinstance(chunk, FinishReason):
@@ -190,8 +168,8 @@ class Api:
             logging.exception(e)
             yield self._format_json('error', get_error_message(e))
 
-    # Додайте цей метод до класу Api
     async def _copy_images(self, images: list[str], cookies: Optional[Cookies] = None):
+        ensure_images_dir()
         async with ClientSession(
             connector=get_connector(None, os.environ.get("G4F_PROXY")),
             cookies=cookies
@@ -212,16 +190,6 @@ class Api:
             return await asyncio.gather(*[copy_image(image) for image in images])
 
     def _format_json(self, response_type: str, content):
-        """
-        Formats and returns a JSON response.
-
-        Args:
-            response_type (str): The type of the response.
-            content: The content to be included in the response.
-
-        Returns:
-            str: A JSON formatted string.
-        """
         return {
             'type': response_type,
             response_type: content
@@ -229,15 +197,6 @@ class Api:
 
 
 def get_error_message(exception: Exception) -> str:
-    """
-    Generates a formatted error message from an exception.
-
-    Args:
-        exception (Exception): The exception to format.
-
-    Returns:
-        str: A formatted error message string.
-    """
     message = f"{type(exception).__name__}: {exception}"
     provider = get_last_provider()
     if provider is None:
diff --git a/g4f/gui/server/website.py b/g4f/gui/server/website.py
index 5e633674..3cabcdf3 100644
--- a/g4f/gui/server/website.py
+++ b/g4f/gui/server/website.py
@@ -27,6 +27,10 @@ class Website:
                 'function': redirect_home,
                 'methods': ['GET', 'POST']
             },
+            '/images/': {
+                'function': redirect_home,
+                'methods': ['GET', 'POST']
+            },
         }
 
     def _chat(self, conversation_id):
@@ -35,4 +39,4 @@ class Website:
         return render_template('index.html', chat_id=conversation_id)
 
     def _index(self):
-        return render_template('index.html', chat_id=str(uuid.uuid4()))
\ No newline at end of file
+        return render_template('index.html', chat_id=str(uuid.uuid4()))
diff --git a/g4f/models.py b/g4f/models.py
index 1cea6447..32a12d10 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -23,7 +23,6 @@ from .Provider import (
     DDG,
     DeepInfra,
     DeepInfraChat,
-    DeepInfraImage,
     Editee,
     Free2GPT,
     FreeChatgpt,
@@ -31,6 +30,7 @@ from .Provider import (
     FreeNetfly,
     Gemini,
     GeminiPro,
+    GizAI,
     GigaChat,
     GPROChat,
     HuggingChat,
@@ -42,9 +42,6 @@ from .Provider import (
     NexraBing,
     NexraBlackbox,
     NexraChatGPT,
-    NexraChatGPT4o,
-    NexraChatGptV2,
-    NexraChatGptWeb,
     NexraDallE,
     NexraDallE2,
     NexraEmi,
@@ -87,6 +84,8 @@ class Model:
         """Returns a list of all model names."""
         return _all_models
 
+
+### Default ###
 default = Model(
     name          = "",
     base_provider = "",
@@ -113,6 +112,8 @@ default = Model(
     ])
 )
 
+
+
 ############
 ### Text ###
 ############
@@ -136,13 +137,13 @@ gpt_35_turbo = Model(
 gpt_4o = Model(
     name          = 'gpt-4o',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([NexraChatGPT4o, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, Liaobots, Airforce, OpenaiChat])
+    best_provider = IterListProvider([NexraChatGPT, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
 )
 
 gpt_4o_mini = Model(
     name          = 'gpt-4o-mini',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, RubiksAI, Liaobots, Airforce, ChatgptFree, Koala, OpenaiChat, ChatGpt])
+    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, RubiksAI, Liaobots, Airforce, GizAI, ChatgptFree, Koala, OpenaiChat, ChatGpt])
 )
 
 gpt_4_turbo = Model(
@@ -154,7 +155,7 @@ gpt_4_turbo = Model(
 gpt_4 = Model(
     name          = 'gpt-4',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, NexraBing, NexraChatGPT, NexraChatGptV2, NexraChatGptWeb, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
+    best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, NexraBing, NexraChatGPT, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
 )
 
 # o1
@@ -167,7 +168,7 @@ o1 = Model(
 o1_mini = Model(
     name          = 'o1-mini',
     base_provider = 'OpenAI',
-    best_provider = AmigoChat
+    best_provider = IterListProvider([AmigoChat, GizAI])
 )
 
 
@@ -216,13 +217,13 @@ llama_3_70b = Model(
 llama_3_1_8b = Model(
     name          = "llama-3.1-8b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, PerplexityLabs])
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, GizAI, PerplexityLabs])
 )
 
 llama_3_1_70b = Model(
     name          = "llama-3.1-70b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, RubiksAI, HuggingFace, PerplexityLabs])
+    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, RubiksAI, GizAI, HuggingFace, PerplexityLabs])
 )
 
 llama_3_1_405b = Model(
@@ -299,7 +300,7 @@ mistral_nemo = Model(
 mistral_large = Model(
     name          = "mistral-large",
     base_provider = "Mistral",
-    best_provider = Editee
+    best_provider = IterListProvider([Editee, GizAI])
 )
 
 
@@ -347,13 +348,13 @@ phi_3_5_mini = Model(
 gemini_pro = Model(
     name          = 'gemini-pro',
     base_provider = 'Google DeepMind',
-    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Editee, Liaobots, Airforce])
+    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Editee, GizAI, Airforce, Liaobots])
 )
 
 gemini_flash = Model(
     name          = 'gemini-flash',
     base_provider = 'Google DeepMind',
-    best_provider = IterListProvider([Blackbox, Liaobots, Airforce])
+    best_provider = IterListProvider([Blackbox, GizAI, Airforce, Liaobots])
 )
 
 gemini = Model(
@@ -424,14 +425,14 @@ claude_3_sonnet = Model(
 claude_3_haiku = Model(
     name          = 'claude-3-haiku',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([DDG, Airforce, Liaobots])
+    best_provider = IterListProvider([DDG, Airforce, GizAI, Liaobots])
 )
 
 # claude 3.5
 claude_3_5_sonnet = Model(
     name          = 'claude-3.5-sonnet',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Blackbox, Editee, AmigoChat, Airforce, Liaobots])
+    best_provider = IterListProvider([Blackbox, Editee, AmigoChat, Airforce, GizAI, Liaobots])
 )
 
 
@@ -753,14 +754,14 @@ sdxl_lora = Model(
 sdxl = Model(
     name = 'sdxl',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([ReplicateHome, DeepInfraImage])
+    best_provider = IterListProvider([ReplicateHome])
     
 )
 
 sd_1_5 = Model(
     name = 'sd-1.5',
     base_provider = 'Stability AI',
-    best_provider = NexraSD15
+    best_provider = IterListProvider([NexraSD15, GizAI])
     
 )
 
@@ -771,6 +772,13 @@ sd_3 = Model(
     
 )
 
+sd_3_5 = Model(
+    name = 'sd-3.5',
+    base_provider = 'Stability AI',
+    best_provider = GizAI
+    
+)
+
 ### Playground ###
 playground_v2_5 = Model(
     name = 'playground-v2.5',
@@ -791,7 +799,7 @@ flux = Model(
 flux_pro = Model(
     name = 'flux-pro',
     base_provider = 'Flux AI',
-    best_provider = IterListProvider([AmigoChat, NexraFluxPro])
+    best_provider = IterListProvider([NexraFluxPro, AmigoChat])
     
 )
 
@@ -840,7 +848,7 @@ flux_4o = Model(
 flux_schnell = Model(
     name = 'flux-schnell',
     base_provider = 'Flux AI',
-    best_provider = ReplicateHome
+    best_provider = IterListProvider([ReplicateHome, GizAI])
     
 )
 
@@ -1123,6 +1131,7 @@ class ModelUtils:
 'sdxl-turbo': sdxl_turbo,
 'sd-1.5': sd_1_5,
 'sd-3': sd_3,
+'sd-3.5': sd_3_5,
         
         
 ### Playground ###