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from flask import Flask, request, jsonify
import pickle
import numpy as np
app = Flask(__name__)
# Load model
with open("model/xgb_superkart_model.pkl", "rb") as f:
model = pickle.load(f)
@app.route("/", methods=["GET"])
def root():
return jsonify({"message": "SuperKart Backend is live!"})
@app.route("/predict", methods=["POST"])
def predict():
try:
content = request.json
data = content.get("data")
if not data or not isinstance(data, list):
return jsonify({"error": "Invalid input format. Expecting { 'data': [[...]] }"}), 400
arr = np.array(data)
preds = model.predict(arr)
return jsonify({"prediction": preds.tolist()})
except Exception as e:
return jsonify({"error": str(e)}), 500
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860)
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