Update app.py

app.py

@@ -1,5 +1,5 @@
 # -----------------------------------------------------------
-# SuperKart Backend API - Flask Application
+# 🛒 SuperKart Backend API — Flask App for Hugging Face Spaces
 # -----------------------------------------------------------
 
 from flask import Flask, request, jsonify
@@ -9,15 +9,14 @@ import joblib
 import os
 
 # -----------------------------------------------------------
-# App setup
+# App initialization
 # -----------------------------------------------------------
 app = Flask(__name__)
 CORS(app)
 
-MODEL_PATH = "model.joblib"
+MODEL_PATH = "model.joblib"  # or your model file name
 model = None
 
-
 # -----------------------------------------------------------
 # Load model
 # -----------------------------------------------------------
@@ -32,7 +31,7 @@ def load_model():
 
 
 # -----------------------------------------------------------
-# Home / Health endpoint
+# Root route (health / info)
 # -----------------------------------------------------------
 @app.route("/", methods=["GET"])
 def home():
@@ -45,29 +44,39 @@ def home():
 
 
 # -----------------------------------------------------------
-# Routes endpoint (debugging)
+# Debug route: show all available routes
 # -----------------------------------------------------------
 @app.route("/routes", methods=["GET"])
 def show_routes():
-    """List all registered endpoints for debugging."""
     routes = [str(rule) for rule in app.url_map.iter_rules()]
     return jsonify({"available_routes": routes})
 
 
 # -----------------------------------------------------------
-# Prediction endpoint
+# Health check route
+# -----------------------------------------------------------
+@app.route("/health", methods=["GET"])
+def health():
+    return jsonify({"status": "healthy", "model_loaded": model is not None})
+
+
+# -----------------------------------------------------------
+# Prediction route
 # -----------------------------------------------------------
 @app.route("/predict", methods=["POST"])
 def predict():
-    """Accepts JSON input and returns model predictions."""
     try:
+        # Expecting JSON like: [ { "feature1": ..., "feature2": ... } ]
         data = request.get_json(force=True)
+        if not data:
+            return jsonify({"status": "error", "message": "No JSON data received"}), 400
+
         print("Received data:", data)
 
-        # Convert JSON list of dicts -> DataFrame
         df = pd.DataFrame(data)
+        if model is None:
+            return jsonify({"status": "error", "message": "Model not loaded"}), 500
 
-        # Run model inference
         preds = model.predict(df)
 
         return jsonify({
@@ -81,15 +90,13 @@ def predict():
 
 
 # -----------------------------------------------------------
-# Entry point
+# Run app
 # -----------------------------------------------------------
 if __name__ == "__main__":
     load_model()
     port = int(os.environ.get("PORT", 7860))
     print(f"🚀 Starting SuperKart backend on 0.0.0.0:{port}")
     app.run(host="0.0.0.0", port=port, debug=False)
-if __name__ == "__main__":
-    load_model()
-    port = int(os.environ.get("PORT", 7860))
-    print(f"🚀 Starting SuperKart backend on 0.0.0.0:{port}")
-    app.run(host="0.0.0.0", port=port, debug=False)
+
+
+