fix: correct Flask deployment with docker SDK

.huggingface.yaml

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+app_port: 7860
+sdk: docker

Dockerfile

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+FROM python:3.11-slim
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+COPY app.py .
+COPY final_random_forest_model.pkl .
+EXPOSE 7860
+CMD ["python", "app.py"]

app.py

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+from flask import Flask, request, jsonify
+from flask_cors import CORS
+import pandas as pd, joblib, os
+
+app = Flask(__name__)
+CORS(app)
+
+model = joblib.load("final_random_forest_model.pkl")
+
+FEATURE_COLUMNS = [
+    "Product_Weight", "Product_Allocated_Area", "Product_MRP",
+    "Store_Establishment_Year", "Store_Size", "Store_Location_City_Type",
+    "Store_Type", "Product_Prefix", "Product_Num", "Store_Age"
+]
+
+@app.route("/", methods=["GET"])
+def home():
+    return "✅ SuperKart Forecast API is running"
+
+@app.route("/predict", methods=["POST"])
+def predict():
+    data = request.get_json(force=True)["data"]
+    df = pd.DataFrame(data)[FEATURE_COLUMNS]
+    preds = model.predict(df)
+    return jsonify({"predictions": preds.tolist()})
+
+if __name__ == "__main__":
+    port = int(os.environ.get("PORT", 7860))
+    app.run(host="0.0.0.0", port=port)

final_random_forest_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7bbd80f25f24f85f9461b8ed48e52593e1916c60d892034781d145819376e721
+size 49995363

requirements.txt

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+flask==2.2.5
+flask-cors==3.0.10
+pandas==2.1.1
+scikit-learn==1.6.1
+joblib==1.3.2
+numpy==1.24.4