Spaces:
Sleeping
Sleeping
pakito312
commited on
Commit
·
850166a
1
Parent(s):
afb5ae8
update
Browse files- Dockerfile +7 -23
- api.py +14 -253
Dockerfile
CHANGED
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@@ -1,34 +1,18 @@
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FROM python:3.10-slim
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# Installer
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RUN apt-get update && apt-get install -y
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curl \
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ca-certificates \
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zstd \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Installer Ollama
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RUN curl -fsSL https://ollama.ai/install.sh | sh
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#
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USER user
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WORKDIR /home/user
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#
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COPY --chown=user:user requirements.txt .
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# Installer TOUTES les dépendances Python
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RUN pip install --no-cache-dir --user \
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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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aiohttp==3.9.1 \
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requests==2.31.0
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EXPOSE 7860
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# Démarrer
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CMD ["sh", "-c", "ollama serve & sleep
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FROM python:3.10-slim
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# Installer curl et zstd pour Ollama
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RUN apt-get update && apt-get install -y curl zstd && rm -rf /var/lib/apt/lists/*
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# Installer Ollama
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RUN curl -fsSL https://ollama.ai/install.sh | sh
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# Copier l'API
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COPY api.py .
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# Installer seulement FastAPI et requests
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RUN pip install fastapi uvicorn requests
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EXPOSE 7860
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# Démarrer
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CMD ["sh", "-c", "ollama serve & sleep 40 && ollama pull deepseek-coder:1.3b && uvicorn api:app --host 0.0.0.0 --port 7860"]
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api.py
CHANGED
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@@ -1,262 +1,23 @@
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"""
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import asyncio
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import json
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import time
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import aiohttp
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from typing import Optional, List, Dict, Any
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from contextlib import asynccontextmanager
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from fastapi.responses import JSONResponse, StreamingResponse
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from pydantic import BaseModel
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# ========== MODÈLES ==========
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class GenerateRequest(BaseModel):
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prompt: str
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model: str = "deepseek-coder:1.3b"
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stream: bool = False
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temperature: float = 0.2
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max_tokens: int = 512
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class ChatMessage(BaseModel):
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role: str
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content: str
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class ChatRequest(BaseModel):
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messages: List[ChatMessage]
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model: str = "deepseek-coder:1.3b"
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stream: bool = False
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temperature: float = 0.2
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max_tokens: int = 512
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# ========== CLIENT OLLAMA ==========
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class OllamaClient:
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def __init__(self):
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self.base_url = "http://localhost:11434"
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self.session = None
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async def get_session(self):
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if not self.session or self.session.closed:
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self.session = aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=300))
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return self.session
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async def close(self):
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if self.session and not self.session.closed:
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await self.session.close()
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async def health_check(self):
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"""Vérifier si Ollama est en ligne"""
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try:
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session = await self.get_session()
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async with session.get(f"{self.base_url}/api/tags", timeout=10) as resp:
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return resp.status == 200
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except:
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return False
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async def generate(self, request: Dict) -> Dict:
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"""Génération simple"""
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try:
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session = await self.get_session()
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async with session.post(
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f"{self.base_url}/api/generate",
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json=request,
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timeout=120
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) as response:
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if response.status == 200:
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return await response.json()
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else:
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return {"error": f"HTTP {response.status}: {await response.text()}"}
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except Exception as e:
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return {"error": str(e)}
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async def generate_stream(self, request: Dict):
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"""Génération en streaming"""
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async def stream_generator():
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try:
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session = await self.get_session()
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async with session.post(
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f"{self.base_url}/api/generate",
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json=request,
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timeout=300
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) as response:
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async for line in response.content:
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if line:
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yield f"data: {line.decode()}\n\n"
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except Exception as e:
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yield f"data: {json.dumps({'error': str(e)})}\n\n"
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return StreamingResponse(
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stream_generator(),
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media_type="text/event-stream"
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)
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async def chat(self, request: Dict) -> Dict:
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"""Chat"""
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try:
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session = await self.get_session()
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async with session.post(
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f"{self.base_url}/api/chat",
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json=request,
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timeout=120
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) as response:
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if response.status == 200:
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return await response.json()
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else:
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return {"error": f"HTTP {response.status}: {await response.text()}"}
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except Exception as e:
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return {"error": str(e)}
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async def list_models(self) -> List[str]:
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"""Lister les modèles"""
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try:
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session = await self.get_session()
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async with session.get(f"{self.base_url}/api/tags") as response:
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if response.status == 200:
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data = await response.json()
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return [m["name"] for m in data.get("models", [])]
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return []
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except:
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return []
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# ========== APPLICATION ==========
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Démarrage
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app.state.client = OllamaClient()
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app.state.start_time = time.time()
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print("⏳ Attente d'Ollama...")
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for i in range(30):
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if await app.state.client.health_check():
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print("✅ Ollama prêt!")
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break
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print(f" Tentative {i+1}/30")
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await asyncio.sleep(2)
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yield
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# Nettoyage
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await app.state.client.close()
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# Créer l'app
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app = FastAPI(
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title="DeepSeek-Coder API",
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description="API pour DeepSeek-Coder 1.3B via Ollama",
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version="1.0.0",
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lifespan=lifespan
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)
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# CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# ========== ROUTES ==========
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@app.get("/")
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return {
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"service": "DeepSeek-Coder 1.3B API",
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"endpoints": {
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"GET /": "Cette page",
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"GET /health": "Vérifier la santé",
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"GET /models": "Liste des modèles",
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"POST /generate": "Générer du texte",
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"POST /chat": "Chat conversationnel",
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"GET /docs": "Documentation Swagger"
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},
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"model": "deepseek-coder:1.3b",
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"note": "Le modèle peut prendre 2-3 minutes pour démarrer"
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}
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@app.get("/health")
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async def health():
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ollama_ready = await app.state.client.health_check()
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models = await app.state.client.list_models()
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return {
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"status": "healthy" if ollama_ready else "starting",
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"ollama_ready": ollama_ready,
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"models": models,
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"uptime": time.time() - app.state.start_time
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}
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@app.get("/models")
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async def get_models():
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models = await app.state.client.list_models()
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return {"models": models}
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@app.post("/generate")
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"
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"options": {
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"temperature": request.temperature,
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"num_predict": request.max_tokens
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}
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}
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if request.stream:
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return await app.state.client.generate_stream(payload)
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else:
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result = await app.state.client.generate(payload)
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return JSONResponse(content=result)
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@app.post("/chat")
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async def chat(request: ChatRequest):
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"""Chat conversationnel"""
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payload = {
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"model": request.model,
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"messages": [msg.dict() for msg in request.messages],
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"stream": request.stream,
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"options": {
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"temperature": request.temperature,
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"num_predict": request.max_tokens
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}
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}
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if request.stream:
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return await app.state.client.generate_stream(payload)
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else:
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result = await app.state.client.chat(payload)
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return JSONResponse(content=result)
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# Routes compatibles Ollama
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@app.get("/api/tags")
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async def ollama_tags():
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models = await app.state.client.list_models()
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return {"models": [{"name": m} for m in models]}
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@app.post("/api/generate")
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async def ollama_generate(request: dict):
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"""Route compatible avec l'API Ollama"""
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if request.get("stream", False):
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return await app.state.client.generate_stream(request)
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else:
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result = await app.state.client.generate(request)
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return JSONResponse(content=result)
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@app.post("/api/chat")
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async def ollama_chat(request: dict):
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"""Route compatible avec l'API Ollama"""
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if request.get("stream", False):
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return await app.state.client.generate_stream(request)
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else:
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result = await app.state.client.chat(request)
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return JSONResponse(content=result)
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# ========== DÉMARRAGE ==========
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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, log_level="info")
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from fastapi import FastAPI
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import requests
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import time
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app = FastAPI()
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OLLAMA_URL = "http://localhost:11434"
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@app.get("/")
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def root():
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return {"message": "DeepSeek-Coder API"}
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@app.post("/generate")
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def generate(prompt: str):
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response = requests.post(f"{OLLAMA_URL}/api/generate", json={
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| 15 |
+
"model": "deepseek-coder:1.3b",
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+
"prompt": prompt,
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+
"stream": False
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+
})
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+
return response.json()
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| 20 |
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| 21 |
if __name__ == "__main__":
|
| 22 |
import uvicorn
|
| 23 |
+
uvicorn.run(app, host="0.0.0.0", port=7860)
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