Upload folder using huggingface_hub

app.py

@@ -36,7 +36,7 @@ if st.button("Predict", type='primary'):
     response = requests.post("https://sp1505-frontend.hf.space/v1/customer", json=customer_data)    # enter user name and space name before running the cell
     if response.status_code == 200:
         result = response.json()
-        churn_prediction = result["Prediction"]  # Extract only the value
+        sales_prediction = result["Predicted_Sales"]  # Extract only the value
         st.write(f"Based on the information provided, the customer with ID {CustomerID} is likely to {churn_prediction}.")
     else:
         st.error("Error in API request")