Upload frontend app files

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

@@ -4,7 +4,7 @@ import json
 import pandas as pd
 
 # Define the backend API endpoint URL
-# Replace with the actual URL of your deployed backend API
+# 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")
@@ -39,8 +39,8 @@ if st.button("Get Sales Forecast"):
 
     # Send the input data to the backend API for prediction
     try:
-        # Corrected f-string syntax to use the BACKEND_API_URL variable
-        response = requests.post(f"https://huggingface.co/spaces/Dattaluri/Great_Learning/blob/main/app.py/predict", json=input_data)
+        # 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
 
         prediction = response.json()["prediction"][0]