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Dockerfile.txt

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+# Use the official Python image from the Docker Hub
+FROM python:3.11-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the requirements file first to leverage Docker cache
+COPY requirements.txt .
+
+# Install the required Python packages
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code into the container
+COPY . .
+
+# Expose the port the app runs on
+EXPOSE 7860
+
+# Command to run the FastAPI application using uvicorn
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,12 +1,13 @@
 ---
-title: Selamgptmodels
-emoji: 🚀
-colorFrom: green
-colorTo: red
+title: Marchupdate
+emoji: 🏆
+colorFrom: red
+colorTo: indigo
 sdk: docker
 pinned: false
-license: mit
-short_description: Something cool
+app_file: app.py  # Replace with your actual app filename
+app_port: 7860
+
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from fastapi import FastAPI, HTTPException, Depends, Header, Request
+from fastapi.responses import StreamingResponse
+from pydantic import BaseModel
+from typing import List
+from g4f import ChatCompletion
+from slowapi import Limiter
+from slowapi.util import get_remote_address
+
+app = FastAPI()
+
+# Initialize the rate limiter
+limiter = Limiter(key_func=get_remote_address)
+
+# List of available models
+models = [
+    "gpt-4o", "gpt-4o-mini", "gpt-4",
+    "gpt-4-turbo", "gpt-3.5-turbo",
+    "claude-3.7-sonnet", "o3-mini", "o1", "claude-3.5", "llama-3.1-405b", "gemini-flash", "blackboxai-pro", "openchat-3.5", "glm-4-9B", "blackboxai"
+]
+
+# Request model
+class Message(BaseModel):
+    role: str
+    content: str
+
+class ChatRequest(BaseModel):
+    model: str
+    messages: List[Message]
+    streaming: bool = True  # Add streaming support
+
+class ChatResponse(BaseModel):
+    role: str
+    content: str
+
+# Dependency to check API key
+async def verify_api_key(x_api_key: str = Header(...)):
+    if x_api_key != "vs-5wEvIw6vfLKIypGm7uiNoWuXrJcg4vAL":  # Replace with your actual API key
+        raise HTTPException(status_code=403, detail="Invalid API key")
+
+@app.get("/v1/models", tags=["Models"])
+async def get_models():
+    """Endpoint to get the list of available models."""
+    return {"models": models}
+
+@app.post("/v1/chat/completions", tags=["Chat Completion"])
+@limiter.limit("10/minute")  # Rate limit to 10 requests per minute
+async def chat_completion(
+    request: Request,
+    chat_request: ChatRequest,
+    api_key: str = Depends(verify_api_key)
+):
+    # Validate model
+    if chat_request.model not in models:
+        raise HTTPException(status_code=400, detail="Invalid model selected.")
+
+    # Check if messages are provided
+    if not chat_request.messages:
+        raise HTTPException(status_code=400, detail="Messages cannot be empty.")
+
+    # Convert messages to the format expected by ChatCompletion
+    formatted_messages = [{"role": msg.role, "content": msg.content} for msg in chat_request.messages]
+
+    try:
+        if chat_request.streaming:
+            # Stream the response
+            def event_stream():
+                response = ChatCompletion.create(
+                    model=chat_request.model,
+                    messages=formatted_messages,
+                    stream=True  # Enable streaming
+                )
+                
+                for chunk in response:
+                    if isinstance(chunk, dict) and 'choices' in chunk:
+                        for choice in chunk['choices']:
+                            if 'message' in choice:
+                                yield f"data: {choice['message']['content']}\n\n"
+                    else:
+                        yield f"data: {chunk}\n\n"  # Fallback if chunk is not as expected
+
+            return StreamingResponse(event_stream(), media_type="text/event-stream")
+        else:
+            # Non-streaming response
+            response = ChatCompletion.create(
+                model=chat_request.model,
+                messages=formatted_messages
+            )
+
+            if isinstance(response, str):
+                response_content = response  # Directly use if it's a string
+            else:
+                try:
+                    response_content = response['choices'][0]['message']['content']
+                except (IndexError, KeyError):
+                    raise HTTPException(status_code=500, detail="Unexpected response structure.")
+
+            return ChatResponse(role="assistant", content=response_content)
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)

gitattributes.txt

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

requirements.txt

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+fastapi
+uvicorn
+pydantic
+slowapi
+g4f