Update app.py

app.py

@@ -5,7 +5,7 @@ import pandas as pd
 st.title("Customer Churn Prediction")
 
 # Batch Prediction
-st.subheader("Online Prediction")
+# st.subheader("Online Prediction")
 
 # Input fields for customer data
 CustomerID = st.number_input("Customer ID", min_value=10000000, max_value=99999999)
@@ -40,16 +40,16 @@ if st.button("Predict", type='primary'):
     else:
         st.error("Error in API request")
 
-# Batch Prediction
-st.subheader("Batch Prediction")
+# # Batch Prediction
+# st.subheader("Batch Prediction")
 
-file = st.file_uploader("Upload CSV file", type=["csv"])
-if file is not None:
-    if st.button("Predict for Batch", type='primary'):
-        response = requests.post("https://rda9527-deployment-test-v2.hf.space/v1/customerbatch", files={"file": file})
-        if response.status_code == 200:
-            result = response.json()
-            st.header("Batch Prediction Results")
-            st.write(result)
-        else:
-            st.error("Error in API request")
+# file = st.file_uploader("Upload CSV file", type=["csv"])
+# if file is not None:
+#     if st.button("Predict for Batch", type='primary'):
+#         response = requests.post("https://rda9527-deployment-test-v2.hf.space/v1/customerbatch", files={"file": file})
+#         if response.status_code == 200:
+#             result = response.json()
+#             st.header("Batch Prediction Results")
+#             st.write(result)
+#         else:
+#             st.error("Error in API request")