app.py

from flask import Flask, request, jsonify
import joblib
import numpy as np
import os


from huggingface_hub import hf_hub_download
import joblib



model_path = hf_hub_download(
    repo_id="affanthinks/superkart",
    filename="AGreatLearning/tuned_bagging_model.pkl",  # include directory
    revision="main",                                     # ensures correct branch
    token=os.getenv("HF_TOKEN")                          # authentication
)

model = joblib.load(model_path)
print("✅ Model loaded successfully from", model_path)



# Initialize app
app = Flask("predict_revenue")

@app.route("/")
def home():
    return jsonify({"message": "Supermarket Revenue Prediction API is running!"})

@app.route("/predict", methods=["POST"])
def predict():
    try:
        # Get JSON input
        data = request.get_json(force=True)
        features = np.array(data["features"]).reshape(1, -1)

        # Predict
        prediction = model.predict(features)[0]

        return jsonify({"predicted_revenue": float(prediction)})

    except Exception as e:
        return jsonify({"error": str(e)})

if "predict_revenue" == "__main__":
    app.run(host="0.0.0.0", port=7860, debug=True)