Uploaded

Dockerfile

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+FROM python:3.10
+
+WORKDIR /code
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI, Request
+import joblib
+
+app = FastAPI(title="Food Surplus Predictor")
+
+# Load model from Hugging Face model repo
+model = joblib.load("https://huggingface.co/BeeBasic/food-for-all/resolve/main/best_model.joblib")
+
+@app.post("/predict")
+async def predict(request: Request):
+    data = await request.json()
+
+    canteens = data.get("canteens", [])
+    ngos = data.get("ngos", [])
+
+    total_surplus = sum(item["surplus"] for item in canteens)
+    total_need = sum(item["requirement"] for item in ngos)
+    balance = total_surplus - total_need
+
+    return {
+        "total_surplus": total_surplus,
+        "total_need": total_need,
+        "balance": balance
+    }

requirements.txt

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+fastapi
+uvicorn
+joblib
+requests
+scikit-learn