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app.py

@@ -63,7 +63,7 @@ input_data = pd.DataFrame([{
 
 # Make prediction when the "Predict" button is clicked
 if st.button("Predict"):
-    response = requests.post("https://SuperKartRevenuePredictionBackend.Sandhya-2025.hf.space/v1/salesRevenue", json=input_data.to_dict(orient='records')[0])  # Send data to Flask API
+    response = requests.post("https://sandhya-2025-superkartrevenuepredictionbackend.hf.space/v1/salesRevenue", json=input_data.to_dict(orient='records')[0])  # Send data to Flask API
     if response.status_code == 200:
         prediction = response.json()['Predicted Price (in dollars)']
         st.success(f"Predicted Rental Price (in dollars): {prediction}")