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app.py

@@ -64,7 +64,7 @@ input_data_2 = {
 "Store_Type":"Supermarket Type1",
 }
 input_data_1 = input_data_1.to_dict(orient='records')[0]
-st.write("Json input:", input_data_2)
+st.write("input_data_2:", input_data_2)
 # Make prediction when the "Predict" button is clicked
 if st.button("Predict"):
     response = requests.post("https://karora1804-StoreTotalSalesPredictionBackend.hf.space/v1/storeSales", json=input_data_2)  # Send data to Flask API
@@ -73,6 +73,8 @@ if st.button("Predict"):
         st.success(f"Predicted Store Total Sales: {prediction}")
     else:
         st.error("Error making prediction.")
+        st.write(response.status_code)
+        st.write(response.text)
 
 # Section for batch prediction
 st.subheader("Batch Prediction")