deployment

analyzer.py

@@ -318,13 +318,7 @@ def analyze_combined_file(output_file="combined_repo.txt", user_requirements: st
             analysis = analyze_code_chunk(chunk, user_requirements)
             chunk_jsons.append(analysis)
         final_summary = aggregate_chunk_analyses(chunk_jsons, user_requirements)
-        debug_output = (
-            "==== Chunk JSON Outputs ===="
-            + "\n\n".join([f"Chunk {i+1} JSON:\n{chunk_jsons[i]}" for i in range(len(chunk_jsons))])
-            + "\n\n==== Final Aggregated Summary ===="
-            + f"\n{final_summary}"
-        )
-        return debug_output
+        return final_summary
     except Exception as e:
         return f"Error analyzing combined file: {e}"
 

app.py

@@ -1046,10 +1046,6 @@ def create_ui() -> gr.Blocks:
 
         def handle_dataframe_select(evt: gr.SelectData, df_data) -> Tuple[str, Any, str]:
             """Handle dataframe row selection - show modal for repo ID (column 0) clicks."""
-            print(f"DEBUG: Selection event triggered!")
-            print(f"DEBUG: evt = {evt}")
-            print(f"DEBUG: df_data type = {type(df_data)}")
-            
             if evt is None:
                 return "", gr.update(visible=False), ""
             
@@ -1057,14 +1053,12 @@ def create_ui() -> gr.Blocks:
                 # Get the selected row and column from the event
                 row_idx = evt.index[0]
                 col_idx = evt.index[1]
-                print(f"DEBUG: Selected row {row_idx}, column {col_idx}")
                 
                 # Handle pandas DataFrame
                 if isinstance(df_data, pd.DataFrame) and not df_data.empty and row_idx < len(df_data):
                     
                     if col_idx == 0:  # Repository name column - show action modal
                         repo_id = df_data.iloc[row_idx, 0]
-                        print(f"DEBUG: Extracted repo_id = '{repo_id}'")
                         
                         if repo_id and str(repo_id).strip() and str(repo_id).strip() != 'nan':
                             clean_repo_id = str(repo_id).strip()
@@ -1073,13 +1067,9 @@ def create_ui() -> gr.Blocks:
                     
                     # For content columns (1,2,3) and relevance (4), do nothing since full text is shown directly
                     else:
-                        print(f"DEBUG: Clicked on column {col_idx}, full text already shown in table")
                         return "", gr.update(visible=False), ""
-                else:
-                    print(f"DEBUG: df_data is not a DataFrame or row_idx {row_idx} out of range")
                 
             except Exception as e:
-                print(f"DEBUG: Exception occurred: {e}")
                 logger.error(f"Error handling dataframe selection: {e}")
             
             return "", gr.update(visible=False), ""
@@ -1094,7 +1084,6 @@ def create_ui() -> gr.Blocks:
 
         def handle_explore_repo(selected_repo_id: str) -> Tuple[Any, Any, Any, str, str]:
             """Handle navigating to the repo explorer and automatically load the repository."""
-            logger.info(f"DEBUG: handle_explore_repo called with selected_repo_id: '{selected_repo_id}'")
             
             if selected_repo_id and selected_repo_id.strip() and selected_repo_id.strip() != 'nan':
                 clean_repo_id = selected_repo_id.strip()
@@ -1518,7 +1507,6 @@ def create_ui() -> gr.Blocks:
                 status_box_input  # Use for auto-load signal
             ],
             js="""(repo_id) => { 
-                console.log('DEBUG: Navigate to repo explorer for:', repo_id);
                 setTimeout(() => { 
                     window.scrollTo({top: 0, behavior: 'smooth'}); 
                 }, 200); 
@@ -1563,4 +1551,4 @@ def create_ui() -> gr.Blocks:
 
 if __name__ == "__main__":
     app = create_ui()
-    app.launch(debug=True)
+    app.launch(debug=False)

chatbot_page.py

@@ -39,7 +39,6 @@ def chat_with_user(user_message, history):
 
 # Function to end chat and extract keywords
 def extract_keywords_from_conversation(history):
-    print("Extracting keywords from conversation...")
     from openai import OpenAI
     client = OpenAI(api_key=os.getenv("modal_api"))
     client.base_url = os.getenv("base_url")
@@ -65,8 +64,6 @@ def extract_keywords_from_conversation(history):
         max_tokens=64,
         temperature=0.3
     )
-    print("Response received from OpenAI...")
-    print(response.choices[0].message.content)
     keywords = response.choices[0].message.content.strip()
     return keywords
 

hf_utils.py

@@ -37,8 +37,6 @@ def download_filtered_space_files(space_id: str, local_dir: str = "repo_files",
     for root, _, files in os.walk(local_dir):
         for file in files:
             if any(file.endswith(ext) for ext in file_extensions):
-                rel_path = os.path.relpath(os.path.join(root, file), local_dir)
-                print(f"DEBUG: Downloaded file: {rel_path}")
                 copied_files += 1
 
     print(f"Downloaded {copied_files} filtered file(s) to: {local_dir}")