Upload frontend app files

https:/huggingface.co/spaces/Dattaluri/Great_Learning/blob/main/app.py/app.py

@@ -4,8 +4,8 @@ import json
 import pandas as pd
 
 # Define the backend API endpoint URL
-# Replace with the actual URL of your deployed backend API
-BACKEND_API_URL = "https://huggingface.co/spaces/Dattaluri/Great_Learning"
+# Replace with the actual URL of your deployed backend API, starting with "https://"
+BACKEND_API_URL = "https://huggingface.co/spaces/Dattaluri/Great_Learning" # **Make sure this is the correct base URL of your backend Space**
 
 st.title("SuperKart Sales Forecast")
 
@@ -39,6 +39,7 @@ if st.button("Get Sales Forecast"):
 
     # Send the input data to the backend API for prediction
     try:
+        # Use the BACKEND_API_URL variable in the f-string
         response = requests.post(f"{BACKEND_API_URL}/predict", json=input_data)
         response.raise_for_status() # Raise an exception for bad status codes