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from fastapi import FastAPI |
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from pydantic import BaseModel |
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from inference import predict |
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app = FastAPI(title="Your Model API", version="1.0.0") |
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class PredictionRequest(BaseModel): |
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text: str |
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class PredictionResponse(BaseModel): |
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prediction: dict |
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status: str |
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@app.get("/") |
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def read_root(): |
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return {"message": "Your Model API is running!"} |
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@app.post("/predict", response_model=PredictionResponse) |
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async def predict_endpoint(request: PredictionRequest): |
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try: |
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result = predict(request.text) |
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return PredictionResponse( |
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prediction=result, |
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status="success" |
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) |
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except Exception as e: |
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return PredictionResponse( |
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prediction={}, |
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status=f"error: {str(e)}" |
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) |
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