Create app.py

app.py

@@ -0,0 +1,28 @@
+from flask import Flask, request, jsonify
+import joblib
+import pandas as pd
+
+# Load the serialized model
+model = joblib.load("best_sales_forecasting_model.pkl")
+
+# Define app
+app = Flask(__name__)
+
+# Health check
+@app.route("/", methods=["GET"])
+def home():
+    return "SuperKart Sales Forecasting API is live!"
+
+# Prediction endpoint
+@app.route("/predict", methods=["POST"])
+def predict():
+    try:
+        input_data = request.get_json()
+        df = pd.DataFrame([input_data])
+        prediction = model.predict(df)
+        return jsonify({"predicted_sales": prediction[0]})
+    except Exception as e:
+        return jsonify({"error": str(e)})
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)