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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.")