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app.py

@@ -46,19 +46,19 @@ if st.button("Predict"):
     else:
         st.error("Error making prediction.")
 
-# # Section for batch prediction
-# st.subheader("Batch Prediction")
+# Section for batch prediction
+st.subheader("Batch Prediction")
 
-# # Allow users to upload a CSV file for batch prediction
-# uploaded_file = st.file_uploader("Upload CSV file for batch prediction", type=["csv"])
+# Allow users to upload a CSV file for batch prediction
+uploaded_file = st.file_uploader("Upload CSV file for batch prediction", type=["csv"])
 
-# # Make batch prediction when the "Predict Batch" button is clicked
-# if uploaded_file is not None:
-#     if st.button("Predict Batch"):
-#         response = requests.post("https://pragmat-SalesRevenuePredictionBackend.hf.space/v1/revenuebatch", files={"file": uploaded_file})  # Send file to Flask API
-#         if response.status_code == 200:
-#             predictions = response.json()
-#             st.success("Batch predictions completed!")
-#             st.write(predictions)  # Display the predictions
-#         else:
-#             st.error("Error making batch prediction.")
+# Make batch prediction when the "Predict Batch" button is clicked
+if uploaded_file is not None:
+    if st.button("Predict Batch"):
+        response = requests.post("https://pragmat-SalesRevenuePredictionBackend.hf.space/v1/revenuebatch", files={"file": uploaded_file})  # Send file to Flask API
+        if response.status_code == 200:
+            predictions = response.json()
+            st.success("Batch predictions completed!")
+            st.write(predictions)  # Display the predictions
+        else:
+            st.error("Error making batch prediction.")