1 files changed, 16 insertions, 253 deletions

diff --git a/README.md b/README.md
index be4a2a85..e1a2528a 100644
--- a/README.md
+++ b/README.md
@@ -91,7 +91,7 @@ docker run -p 8080:8080 -p 1337:1337 -p 7900:7900 --shm-size="2g" hlohaus789/g4f
 or set the api base in your client to: [http://localhost:1337/v1](http://localhost:1337/v1)
 4. (Optional) If you need to log in to a provider, you can view the desktop from the container here: http://localhost:7900/?autoconnect=1&resize=scale&password=secret.
 
-#### Use python package
+#### Use python
 
 ##### Prerequisites:
 
@@ -104,32 +104,11 @@ Install all supported tools / all used packages:
 ```
 pip install -U g4f[all]
 ```
-Install required packages for the OpenaiChat provider:
-```
-pip install -U g4f[openai]
-```
-Install required packages for the interference api:
-```
-pip install -U g4f[api]
-```
-Install required packages for the web interface:
-```
-pip install -U g4f[gui]
-```
-Install required packages for uploading / generating images:
-```
-pip install -U g4f[image]
-```
-Install required packages for providers with webdriver:
-```
-pip install -U g4f[webdriver]
-```
-Install required packages for proxy support:
-```
-pip install -U aiohttp_socks
-```
 
-##### or:
+Or use: [Partially Requirements](/docs/requirements.md)
+
+
+##### Install from source:
 
 1. Clone the GitHub repository:
 
@@ -179,56 +158,14 @@ import g4f
 ...
 ```
 
-#### Docker for Developers
-
-If you have Docker installed, you can easily set up and run the project without manually installing dependencies.
+##### Install using Docker
 
-1. First, ensure you have both Docker and Docker Compose installed.
+ Or use: [Build Docker](/docs/docker.md)
 
-   - [Install Docker](https://docs.docker.com/get-docker/)
-   - [Install Docker Compose](https://docs.docker.com/compose/install/)
-
-2. Clone the GitHub repo:
-
-```bash
-git clone https://github.com/xtekky/gpt4free.git
-```
-
-3. Navigate to the project directory:
-
-```bash
-cd gpt4free
-```
-
-4. Build the Docker image:
-
-```bash
-docker pull selenium/node-chrome
-docker-compose build
-```
-
-5. Start the service using Docker Compose:
-
-```bash
-docker-compose up
-```
-
-Your server will now be running at `http://localhost:1337`. You can interact with the API or run your tests as you would normally.
-
-To stop the Docker containers, simply run:
-
-```bash
-docker-compose down
-```
-
-> [!Note]
-> When using Docker, any changes you make to your local files will be reflected in the Docker container thanks to the volume mapping in the `docker-compose.yml` file. If you add or remove dependencies, however, you'll need to rebuild the Docker image using `docker-compose build`.
 
 ## 💡 Usage
 
-### New Client with Image Generation
-
-#### not jet released
+#### Image Generation
 
 ```python
 from g4f.client import Client
@@ -245,90 +182,21 @@ Result:
 
 [![Image with cat](/docs/cat.jpeg)](/docs/client.md)
 
-[to the client API](/docs/client.md)
-
-### The Web UI
-
-To start the web interface, type the following codes in the command line.
-
-```python
-from g4f.gui import run_gui
-run_gui()
-```
-
-### The `g4f` Package
-
-#### ChatCompletion
-
-```python
-import g4f
-
-g4f.debug.logging = True  # Enable debug logging
-g4f.debug.version_check = False  # Disable automatic version checking
-print(g4f.Provider.Bing.params)  # Print supported args for Bing
-
-# Using automatic a provider for the given model
-## Streamed completion
-response = g4f.ChatCompletion.create(
-    model="gpt-3.5-turbo",
-    messages=[{"role": "user", "content": "Hello"}],
-    stream=True,
-)
-for message in response:
-    print(message, flush=True, end='')
-
-## Normal response
-response = g4f.ChatCompletion.create(
-    model=g4f.models.gpt_4,
-    messages=[{"role": "user", "content": "Hello"}],
-)  # Alternative model setting
+#### Text Generation
 
-print(response)
-```
+and more:
 
-##### Completion
+- [Documentation for new Client](/docs/client.md)
+- [Documentation for leagcy API](/docs/leagcy.md)
 
-```python
-import g4f
-
-allowed_models = [
-    'code-davinci-002',
-    'text-ada-001',
-    'text-babbage-001',
-    'text-curie-001',
-    'text-davinci-002',
-    'text-davinci-003'
-]
 
-response = g4f.Completion.create(
-    model='text-davinci-003',
-    prompt='say this is a test'
-)
-
-print(response)
-```
+#### Web UI
 
-##### Providers
+To start the web interface, type the following codes in the command line.
 
 ```python
-import g4f
-
-# Print all available providers
-print([
-    provider.__name__
-    for provider in g4f.Provider.__providers__
-    if provider.working
-])
-
-# Execute with a specific provider
-response = g4f.ChatCompletion.create(
-    model="gpt-3.5-turbo",
-    provider=g4f.Provider.Aichat,
-    messages=[{"role": "user", "content": "Hello"}],
-    stream=True,
-)
-for message in response:
-    print(message)
+from g4f.gui import run_gui
+run_gui()
 ```
 
 ##### Cookies / Access Token
@@ -358,111 +226,6 @@ pip install browser_cookie3
 pip install g4f[webdriver]
 ```
 
-##### Image Upload & Generation
-
-Image upload and generation are supported by three main providers:
-
-- **Bing & Other GPT-4 Providers:** Utilizes Microsoft's Image Creator.
-- **Google Gemini:** Available for free accounts with IP addresses outside Europe.
-- **OpenaiChat with GPT-4:** Accessible for users with a Plus subscription.
-
-```python
-import g4f
-
-# Setting up the request for image creation
-response = g4f.ChatCompletion.create(
-    model=g4f.models.default, # Using the default model
-    provider=g4f.Provider.Gemini, # Specifying the provider as Gemini
-    messages=[{"role": "user", "content": "Create an image like this"}],
-    image=open("images/g4f.png", "rb"), # Image input can be a data URI, bytes, PIL Image, or IO object
-    image_name="g4f.png" # Optional: specifying the filename
-)
-
-# Displaying the response
-print(response)
-
-from g4f.image import ImageResponse
-
-# Get image links from response
-for chunk in g4f.ChatCompletion.create(
-    model=g4f.models.default, # Using the default model
-    provider=g4f.Provider.OpenaiChat, # Specifying the provider as OpenaiChat
-    messages=[{"role": "user", "content": "Create images with dogs"}],
-    access_token="...", # Need a access token from a plus user
-    stream=True,
-    ignore_stream=True
-):
-    if isinstance(chunk, ImageResponse):
-        print(chunk.images) # Print generated image links
-        print(chunk.alt) # Print used prompt for image generation
-```
-
-##### Using Browser
-
-Some providers using a browser to bypass the bot protection. They using the selenium webdriver to control the browser. The browser settings and the login data are saved in a custom directory. If the headless mode is enabled, the browser windows are loaded invisibly. For performance reasons, it is recommended to reuse the browser instances and close them yourself at the end:
-
-```python
-import g4f
-from undetected_chromedriver import Chrome, ChromeOptions
-from g4f.Provider import (
-    Bard,
-    Poe,
-    AItianhuSpace,
-    MyShell,
-    PerplexityAi,
-)
-
-options = ChromeOptions()
-options.add_argument("--incognito");
-webdriver = Chrome(options=options, headless=True)
-for idx in range(10):
-    response = g4f.ChatCompletion.create(
-        model=g4f.models.default,
-        provider=g4f.Provider.MyShell,
-        messages=[{"role": "user", "content": "Suggest me a name."}],
-        webdriver=webdriver
-    )
-    print(f"{idx}:", response)
-webdriver.quit()
-```
-
-##### Async Support
-
-To enhance speed and overall performance, execute providers asynchronously. The total execution time will be determined by the duration of the slowest provider's execution.
-
-```python
-import g4f
-import asyncio
-
-_providers = [
-    g4f.Provider.Aichat,
-    g4f.Provider.ChatBase,
-    g4f.Provider.Bing,
-    g4f.Provider.GptGo,
-    g4f.Provider.You,
-    g4f.Provider.Yqcloud,
-]
-
-async def run_provider(provider: g4f.Provider.BaseProvider):
-    try:
-        response = await g4f.ChatCompletion.create_async(
-            model=g4f.models.default,
-            messages=[{"role": "user", "content": "Hello"}],
-            provider=provider,
-        )
-        print(f"{provider.__name__}:", response)
-    except Exception as e:
-        print(f"{provider.__name__}:", e)
-        
-async def run_all():
-    calls = [
-        run_provider(provider) for provider in _providers
-    ]
-    await asyncio.gather(*calls)
-
-asyncio.run(run_all())
-```
-
 ##### Proxy and Timeout Support
 
 All providers support specifying a proxy and increasing timeout in the create functions.