Update app.py

app.py

@@ -44,8 +44,14 @@ if uploaded_file:
         with tab1:
             st.subheader("LangChain Query")
             try:
-                # Use CSVLoader with the uploaded file (as a stream)
-                loader = CSVLoader(file_path=uploaded_file)
+                # Write uploaded file to a temporary file for LangChain
+                with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode="w") as temp_file:
+                    # Save the DataFrame content to the temporary file
+                    data.to_csv(temp_file.name, index=False)
+                    temp_file_path = temp_file.name
+
+                # Use CSVLoader with the temporary file path
+                loader = CSVLoader(file_path=temp_file_path)
                 docs = loader.load_and_split()
 
                 # Preview the first document
@@ -84,15 +90,24 @@ if uploaded_file:
 
             except Exception as e:
                 st.error(f"Error processing with LangChain: {e}")
+            finally:
+                # Clean up the temporary file
+                if 'temp_file_path' in locals() and os.path.exists(temp_file_path):
+                    os.remove(temp_file_path)
 
         # LlamaIndex Tab
         with tab2:
             st.subheader("LlamaIndex Query")
             try:
+                # Write uploaded file to a temporary file for LlamaIndex
+                with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode="w") as temp_file:
+                    data.to_csv(temp_file.name, index=False)
+                    temp_file_path = temp_file.name
+
                 # Use PagedCSVReader for LlamaIndex
                 csv_reader = PagedCSVReader()
                 reader = SimpleDirectoryReader(
-                    input_files=[uploaded_file.name],
+                    input_files=[temp_file_path],
                     file_extractor={".csv": csv_reader},
                 )
                 docs = reader.load_data()
@@ -121,5 +136,9 @@ if uploaded_file:
                     st.write(f"Answer: {response.response}")
             except Exception as e:
                 st.error(f"Error processing with LlamaIndex: {e}")
+            finally:
+                # Clean up the temporary file
+                if 'temp_file_path' in locals() and os.path.exists(temp_file_path):
+                    os.remove(temp_file_path)
     except Exception as e:
-        st.error(f"Error reading uploaded file: {e}")
+        st.error(f"Error reading uploaded file: {e}")