From f105451947cbea2641444777a9ae8b68722ad4eb Mon Sep 17 00:00:00 2001
From: kqlio67 <166700875+kqlio67@users.noreply.github.com>
Date: Wed, 15 Jan 2025 21:35:05 +0000
Subject: Provider Updates and Fixes (#2570)

* Update providers, restore old providers, remove non-working providers

* Restoring the original providers

* Restore the original provider g4f/Provider/needs_auth/GeminiPro.py

* Deleted non-working providers, fixed providers

* Update docs/providers-and-models.md g4f/models.py g4f/Provider/hf_space/CohereForAI.py

* Restore g4f/Provider/Airforce.py Updated alias g4f/Provider/hf_space/CohereForAI.py

* Disabled provider 'g4f/Provider/ReplicateHome.py' and moved to 'g4f/Provider/not_working'

* Disconnected provider problem with Pizzagpt response

* Fix for why web_search = True didn't work

* Update docs/client.md

* Fix for why web_search = True did not work in the asychronous and sychronous versions

---------

Co-authored-by: kqlio67 <>
---
 g4f/Provider/DeepInfraChat.py | 88 -------------------------------------------
 1 file changed, 88 deletions(-)
 delete mode 100644 g4f/Provider/DeepInfraChat.py

(limited to 'g4f/Provider/DeepInfraChat.py')

diff --git a/g4f/Provider/DeepInfraChat.py b/g4f/Provider/DeepInfraChat.py
deleted file mode 100644
index 5db74012..00000000
--- a/g4f/Provider/DeepInfraChat.py
+++ /dev/null
@@ -1,88 +0,0 @@
-from __future__ import annotations
-
-import json
-from aiohttp import ClientSession
-
-from ..typing import AsyncResult, Messages
-from ..requests.raise_for_status import raise_for_status
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-
-class DeepInfraChat(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://deepinfra.com/chat"
-    api_endpoint = "https://api.deepinfra.com/v1/openai/chat/completions"
-
-    working = True
-    supports_stream = True
-    supports_system_message = True
-    supports_message_history = True
-
-    default_model = 'meta-llama/Llama-3.3-70B-Instruct-Turbo'
-    models = [
-        'meta-llama/Llama-3.3-70B-Instruct',
-        'meta-llama/Meta-Llama-3.1-8B-Instruct',
-        default_model,
-        'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo',
-        'Qwen/QwQ-32B-Preview',
-        'microsoft/WizardLM-2-8x22B',
-        'Qwen/Qwen2.5-72B-Instruct',
-        'Qwen/Qwen2.5-Coder-32B-Instruct',
-        'nvidia/Llama-3.1-Nemotron-70B-Instruct',
-    ]
-    model_aliases = {
-        "llama-3.3-70b": "meta-llama/Llama-3.3-70B-Instruct",
-        "llama-3.1-8b": "meta-llama/Meta-Llama-3.1-8B-Instruct",
-        "llama-3.3-70b": "meta-llama/Llama-3.3-70B-Instruct-Turbo",
-        "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
-        "qwq-32b": "Qwen/QwQ-32B-Preview",
-        "wizardlm-2-8x22b": "microsoft/WizardLM-2-8x22B",
-        "qwen-2-72b": "Qwen/Qwen2.5-72B-Instruct",
-        "qwen-2.5-coder-32b": "Qwen/Qwen2.5-Coder-32B-Instruct",
-        "nemotron-70b": "nvidia/Llama-3.1-Nemotron-70B-Instruct",
-    }
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        model = cls.get_model(model)
-
-        headers = {
-            'Accept-Language': 'en-US,en;q=0.9',
-            'Content-Type': 'application/json',
-            'Origin': 'https://deepinfra.com',
-            'Referer': 'https://deepinfra.com/',
-            'X-Deepinfra-Source': 'web-page',
-            'accept': 'text/event-stream',
-        }
-        async with ClientSession(headers=headers) as session:
-            data = {
-                "model": model,
-                "messages": messages,
-                "stream": True
-            }
-            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
-                await raise_for_status(response)
-                async for chunk in response.content:
-                    if chunk:
-                        chunk_text = chunk.decode(errors="ignore")
-                        try:
-                            # Handle streaming response
-                            if chunk_text.startswith("data: "):
-                                if chunk_text.strip() == "data: [DONE]":
-                                    continue
-                                chunk_data = json.loads(chunk_text[6:])
-                                content = chunk_data["choices"][0]["delta"].get("content")
-                                if content:
-                                    yield content
-                            # Handle non-streaming response
-                            else:
-                                chunk_data = json.loads(chunk_text)
-                                content = chunk_data["choices"][0]["message"].get("content")
-                                if content:
-                                    yield content
-                        except (json.JSONDecodeError, KeyError):
-                            continue
-- 
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