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Initial commit: FastAPI application with health endpoints

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  1. Dockerfile +10 -0
  2. README.md +30 -5
  3. app.py +122 -0
  4. requirements.txt +4 -0
Dockerfile ADDED
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+ FROM python:3.9
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+
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+ WORKDIR /app
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+
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+ COPY requirements.txt .
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+ RUN pip install --no-cache-dir --upgrade -r requirements.txt
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+
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+ COPY . .
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+
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+ CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
README.md CHANGED
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  ---
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- title: Sheikh Llm
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- emoji: 📊
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- colorFrom: green
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- colorTo: red
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  sdk: docker
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  pinned: false
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ title: Sheikh LLM
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+ emoji: 🚀
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+ colorFrom: blue
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+ colorTo: purple
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  sdk: docker
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  pinned: false
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  ---
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+ # Sheikh LLM Space
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+
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+ This is an automated FastAPI application deployed on Hugging Face Spaces.
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+
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+ ## Features
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+ - FastAPI backend with auto-generated docs
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+ - Docker deployment
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+ - Health monitoring endpoints
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+ - Ready for LLM integration
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+
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+ ## API Documentation
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+ Visit `/docs` for interactive Swagger UI documentation.
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+
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+ ## Endpoints
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+ - `GET /` - Homepage with UI
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+ - `GET /health` - Health check
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+ - `GET /api/status` - API status
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+ - `POST /api/chat` - Chat endpoint
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+
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+ ## Local Development
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+ ```bash
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+ git clone git@hf.co:spaces/RecentCoders/sheikh-llm
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+ cd sheikh-llm
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+ pip install -r requirements.txt
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+ uvicorn app:app --reload --port 7860
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+ ```
app.py ADDED
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+ from fastapi import FastAPI, HTTPException
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+ from fastapi.responses import HTMLResponse, JSONResponse
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+ from pydantic import BaseModel
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+ import os
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+
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+ app = FastAPI(
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+ title="Sheikh LLM API",
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+ description="A powerful LLM API deployed on Hugging Face Spaces",
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+ version="1.0.0"
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+ )
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+
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+ class ChatRequest(BaseModel):
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+ message: str
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+ max_tokens: int = 100
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+
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+ class ChatResponse(BaseModel):
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+ response: str
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+ status: str
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+
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+ @app.get("/", response_class=HTMLResponse)
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+ def home(): return """
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+ <!DOCTYPE html>
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+ <html>
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+ <head>
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+ <title>Sheikh LLM</title>
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+ <style>
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+ body {
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+ font-family: Arial, sans-serif;
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+ margin: 0;
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+ padding: 20px;
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+ background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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+ color: white;
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+ }
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+ .container {
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+ max-width: 800px;
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+ margin: 0 auto;
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+ background: rgba(255,255,255,0.1);
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+ padding: 30px;
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+ border-radius: 15px;
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+ backdrop-filter: blur(10px);
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+ }
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+ .header {
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+ text-align: center;
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+ margin-bottom: 30px;
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+ }
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+ .endpoints {
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+ background: rgba(255,255,255,0.2);
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+ padding: 20px;
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+ border-radius: 10px;
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+ margin: 20px 0;
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+ }
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+ a { color: #ffd700; text-decoration: none; }
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+ a:hover { text-decoration: underline; }
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+ </style>
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+ </head>
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+ <body>
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+ <div class="container">
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+ <div class="header">
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+ <h1>🚀 Sheikh LLM Space</h1>
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+ <p>Welcome to your automated Hugging Face Space!</p>
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+ </div>
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+
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+ <div class="endpoints">
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+ <h2>📡 API Endpoints:</h2>
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+ <ul>
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+ <li><a href="/health" target="_blank">GET /health</a> - Health check</li>
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+ <li><a href="/api/status" target="_blank">GET /api/status</a> - API status</li>
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+ <li><a href="/docs" target="_blank">GET /docs</a> - Interactive API documentation</li>
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+ </ul>
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+ </div>
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+
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+ <div class="endpoints">
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+ <h2>⚡ Quick Test:</h2>
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+ <p>Try this curl command to test the API:</p>
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+ <code style="background: black; padding: 10px; display: block; border-radius: 5px;">
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+ curl -X GET "https://recentcoders-sheikh-llm.hf.space/health"
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+ </code>
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+ </div>
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+ </div>
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+ </body>
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+ </html>
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+ """
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+
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+ @app.get("/health")
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+ async def health_check():
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+ return JSONResponse({
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+ "status": "healthy",
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+ "service": "sheikh-llm",
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+ "version": "1.0.0",
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+ "environment": "production"
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+ })
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+
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+ @app.get("/api/status")
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+ async def api_status():
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+ return {
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+ "service": "sheikh-llm",
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+ "version": "1.0.0",
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+ "status": "running",
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+ "endpoints": [
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+ {"path": "/", "method": "GET", "description": "Homepage"},
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+ {"path": "/health", "method": "GET", "description": "Health check"},
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+ {"path": "/api/status", "method": "GET", "description": "API status"},
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+ {"path": "/docs", "method": "GET", "description": "Swagger UI"}
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+ ]
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+ }
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+
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+ @app.post("/api/chat", response_model=ChatResponse)
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+ async def chat_endpoint(request: ChatRequest):
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+ """Simple chat endpoint that echoes the message"""
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+ if not request.message.strip():
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+ raise HTTPException(status_code=400, detail="Message cannot be empty")
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+
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+ response_text = f"Received your message: '{request.message}'. This is from Sheikh LLM API!"
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+
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+ return ChatResponse(
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+ response=response_text,
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+ status="success"
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+ )
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+
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+ if __name__ == "__main__":
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+ import uvicorn
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+ uvicorn.run(app, host="0.0.0.0", port=7860)
requirements.txt ADDED
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+ fastapi==0.104.1
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+ uvicorn[standard]==0.24.0
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+ pydantic==2.5.0
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+ python-multipart==0.0.6