Add GeminiPro API provider

Set min version for undetected-chromedriver
Add api_key to the new client

README.md

@@ -103,7 +103,7 @@ or set the api base in your client to: [http://localhost:1337/v1](http://localho
 1. [Download and install Python](https://www.python.org/downloads/) (Version 3.10+ is recommended).
 2. [Install Google Chrome](https://www.google.com/chrome/) for providers with webdriver
 
-##### Install using pypi:
+##### Install using PyPI package:
 
 ```
 pip install -U g4f[all]
@@ -113,35 +113,33 @@ Or use partial requirements.
 
 See: [/docs/requirements](/docs/requirements.md)
 
-##### Install from source:
+##### Install from source using git:
 
 See: [/docs/git](/docs/git.md)
 
 
-##### Install using Docker
+##### Install using Docker for Developers:
 
  See: [/docs/docker](/docs/docker.md)
 
 
 ## 💡 Usage
 
 #### Text Generation
-**with Python**
 
 ```python
 from g4f.client import Client
 
 client = Client()
 response = client.chat.completions.create(
     model="gpt-3.5-turbo",
-    messages=[{"role": "user", "content": "Say this is a test"}],
+    messages=[{"role": "user", "content": "Hello"}],
     ...
 )
 print(response.choices[0].message.content)
 ```
 
 #### Image Generation
-**with Python**
 
 ```python
 from g4f.client import Client
@@ -154,14 +152,15 @@ response = client.images.generate(
 )
 image_url = response.data[0].url
 ```
-Result:
+
+**Result:**
 
 [![Image with cat](/docs/cat.jpeg)](/docs/client.md)
 
-**See also for Python:**
+**See also:**
 
-- [Documentation for new Client](/docs/client.md)
-- [Documentation for leagcy API](/docs/leagcy.md)
+- Documentation for the new Client: [/docs/client](/docs/client.md)
+- Documentation for the leagcy API: [docs/leagcy](/docs/leagcy.md)
 
 
 #### Web UI

docs/client.md

@@ -37,12 +37,16 @@ client = Client(
 )
 ```
 
-You also have the option to define a proxy in the client for all outgoing requests:
+## Configuration
+
+You can set an "api_key" for your provider in client.
+And you also have the option to define a proxy for all outgoing requests:
 
 ```python
 from g4f.client import Client
 
 client = Client(
+    api_key="...",
     proxies="http://user:pass@host",
     ...
 )
@@ -74,7 +78,7 @@ stream = client.chat.completions.create(
 )
 for chunk in stream:
     if chunk.choices[0].delta.content:
-        print(chunk.choices[0].delta.content, end="")
+        print(chunk.choices[0].delta.content or "", end="")
 ```
 
 **Image Generation:**
@@ -109,7 +113,28 @@ image_url = response.data[0].url
 
 Original / Variant:
 
-[![Original Image](/docs/cat.jpeg)](/docs/client.md)
-[![Variant Image](/docs/cat.webp)](/docs/client.md)
+[![Original Image](/docs/cat.jpeg)](/docs/client.md) [![Variant Image](/docs/cat.webp)](/docs/client.md)
+
+#### Advanced example using GeminiProVision
+
+```python
+from g4f.client import Client
+from g4f.Provider.GeminiPro import GeminiPro
+
+client = Client(
+    api_key="...",
+    provider=GeminiPro
+)
+response = client.chat.completions.create(
+    model="gemini-pro-vision",
+    messages=[{"role": "user", "content": "What are on this image?"}],
+    image=open("docs/cat.jpeg", "rb")
+)
+print(response.choices[0].message.content)
+```
+**Question:** What are on this image?
+```
+ A cat is sitting on a window sill looking at a bird outside the window.
+```
 
 [Return to Home](/)

g4f/Provider/GeminiPro.py

@@ -0,0 +1,86 @@
+from __future__ import annotations
+
+import base64
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages, ImageType
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..image import to_bytes, is_accepted_format
+
+
+class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://ai.google.dev"
+    working = True
+    supports_message_history = True
+    default_model = "gemini-pro"
+    models = ["gemini-pro", "gemini-pro-vision"]
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool = False,
+        proxy: str = None,
+        api_key: str = None,
+        image: ImageType = None,
+        **kwargs
+    ) -> AsyncResult:
+        model = "gemini-pro-vision" if not model and image else model
+        model = cls.get_model(model)
+        api_key = api_key if api_key else kwargs.get("access_token")
+        headers = {
+            "Content-Type": "application/json",
+        }
+        async with ClientSession(headers=headers) as session:
+            method = "streamGenerateContent" if stream else "generateContent"
+            url = f"https://generativelanguage.googleapis.com/v1beta/models/{model}:{method}"
+            contents = [
+                {
+                    "role": "model" if message["role"] == "assistant" else message["role"],
+                    "parts": [{"text": message["content"]}]
+                }
+                for message in messages
+            ]
+            if image:
+                image = to_bytes(image)
+                contents[-1]["parts"].append({
+                    "inline_data": {
+                        "mime_type": is_accepted_format(image),
+                        "data": base64.b64encode(image).decode()
+                    }
+                })
+            data = {
+                "contents": contents,
+                # "generationConfig": {
+                #     "stopSequences": kwargs.get("stop"),
+                #     "temperature": kwargs.get("temperature"),
+                #     "maxOutputTokens": kwargs.get("max_tokens"),
+                #     "topP": kwargs.get("top_p"),
+                #     "topK": kwargs.get("top_k"),
+                # }
+            }
+            async with session.post(url, params={"key": api_key}, json=data, proxy=proxy) as response:
+                if not response.ok:
+                    data = await response.json()
+                    raise RuntimeError(data[0]["error"]["message"])
+                if stream:
+                    lines = []
+                    async for chunk in response.content:
+                        if chunk == b"[{\n":
+                            lines = [b"{\n"]
+                        elif chunk == b",\r\n" or chunk == b"]":
+                            try:
+                                data = b"".join(lines)
+                                data = json.loads(data)
+                                yield data["candidates"][0]["content"]["parts"][0]["text"]
+                            except:
+                                data = data.decode() if isinstance(data, bytes) else data
+                                raise RuntimeError(f"Read text failed. data: {data}")
+                            lines = []
+                        else:
+                            lines.append(chunk)
+                else:
+                    data = await response.json()
+                    yield data["candidates"][0]["content"]["parts"][0]["text"]

g4f/Provider/__init__.py

@@ -34,6 +34,7 @@
 from .FreeChatgpt     import FreeChatgpt
 from .FreeGpt         import FreeGpt
 from .GeekGpt         import GeekGpt
+from .GeminiPro       import GeminiPro
 from .GeminiProChat   import GeminiProChat
 from .Gpt6            import Gpt6
 from .GPTalk          import GPTalk