hi

app.py

@@ -382,13 +382,13 @@ def create_ui() -> gr.Blocks:
                         status_box_analysis = gr.Textbox(label="📈 Analysis Status", interactive=False, lines=2)
                 
                 with gr.Row(equal_height=True):
-                    with gr.Column():
-                        content_output = gr.Textbox(
-                            label="📄 Repository Content", 
-                            lines=20, 
-                            show_copy_button=True,
-                            info="Raw content extracted from the repository"
-                        )
+                    # with gr.Column():
+                    #     content_output = gr.Textbox(
+                    #         label="📄 Repository Content", 
+                    #         lines=20, 
+                    #         show_copy_button=True,
+                    #         info="Raw content extracted from the repository"
+                    #     )
                     with gr.Column():
                         summary_output = gr.Textbox(
                             label="🎯 AI Analysis Summary", 
@@ -510,12 +510,12 @@ def create_ui() -> gr.Blocks:
             requirements = "\n".join([f"- {msg}" for msg in user_messages if msg.strip()])
             return requirements
 
-        def handle_analyze_next(repo_ids: List[str], current_idx: int, user_requirements: str) -> Tuple[str, str, pd.DataFrame, int, str]:
+        def handle_analyze_next(repo_ids: List[str], current_idx: int, user_requirements: str) -> Tuple[str, pd.DataFrame, int, str]:
             """Analyzes the next repository in the list."""
             if not repo_ids:
-                return "", "", pd.DataFrame(), 0, "Status: No repositories to analyze. Please submit repo IDs first."
+                return "", pd.DataFrame(), 0, "Status: No repositories to analyze. Please submit repo IDs first."
             if current_idx >= len(repo_ids):
-                return "", "", read_csv_to_dataframe(), current_idx, "Status: All repositories have been analyzed."
+                return "", read_csv_to_dataframe(), current_idx, "Status: All repositories have been analyzed."
             
             repo_id_to_analyze = repo_ids[current_idx]
             status = f"Status: Analyzing repository {current_idx + 1}/{len(repo_ids)}: {repo_id_to_analyze}"
@@ -528,7 +528,7 @@ def create_ui() -> gr.Blocks:
             if next_idx >= len(repo_ids):
                 status += "\n\nFinished all analyses."
 
-            return content, summary, df, next_idx, status
+            return summary, df, next_idx, status
 
         def handle_user_message(user_message: str, history: List[Dict[str, str]]) -> Tuple[List[Dict[str, str]], str]:
             """Appends the user's message to the history, preparing for the bot's response."""
@@ -645,7 +645,7 @@ def create_ui() -> gr.Blocks:
         analyze_next_btn.click(
             fn=handle_analyze_next,
             inputs=[repo_ids_state, current_repo_idx_state, user_requirements_state],
-            outputs=[content_output, summary_output, df_output, current_repo_idx_state, status_box_analysis]
+            outputs=[summary_output, df_output, current_repo_idx_state, status_box_analysis]
         )
         
         # Chatbot Tab

repo_explorer.py

@@ -155,7 +155,7 @@ def create_repo_explorer_tab() -> Tuple[Dict[str, gr.components.Component], Dict
         with gr.Column(scale=2):
             repo_chatbot = gr.Chatbot(
                 label="🤖 Repository Assistant",
-                height=500,
+                height=400,
                 type="messages",
                 avatar_images=(
                     "https://cdn-icons-png.flaticon.com/512/149/149071.png",
@@ -175,14 +175,15 @@ def create_repo_explorer_tab() -> Tuple[Dict[str, gr.components.Component], Dict
                 )
                 repo_send_btn = gr.Button("📤 Send", variant="primary", scale=1)
         
-        with gr.Column(scale=1):
-            repo_content_display = gr.Textbox(
-                label="📄 Repository Content Preview",
-                lines=25,
-                interactive=False,
-                show_copy_button=True,
-                info="Preview of the repository files and content"
-            )
+        # with gr.Column(scale=1):
+        #     # Repository content preview
+        #     repo_content_display = gr.Textbox(
+        #         label="📄 Repository Content Preview",
+        #         lines=20,
+        #         show_copy_button=True,
+        #         interactive=False,
+        #         info="Overview of the loaded repository structure and content"
+        #     )
     
     # Component references
     components = {
@@ -192,15 +193,15 @@ def create_repo_explorer_tab() -> Tuple[Dict[str, gr.components.Component], Dict
         "repo_chatbot": repo_chatbot,
         "repo_msg_input": repo_msg_input,
         "repo_send_btn": repo_send_btn,
-        "repo_content_display": repo_content_display
+        # "repo_content_display": repo_content_display
     }
     
     return components, states
 
-def handle_load_repository(repo_id: str) -> Tuple[str, str, str]:
+def handle_load_repository(repo_id: str) -> Tuple[str, str]:
     """Load a specific repository and prepare it for exploration with chunk-based analysis."""
     if not repo_id.strip():
-        return "", "Status: Please enter a repository ID.", ""
+        return "Status: Please enter a repository ID.", ""
     
     try:
         logger.info(f"Loading repository for exploration: {repo_id}")
@@ -212,9 +213,6 @@ def handle_load_repository(repo_id: str) -> Tuple[str, str, str]:
         with open(txt_path, "r", encoding="utf-8") as f:
             repo_content = f.read()
         
-        # Create a preview (first 2000 characters)
-        preview = repo_content[:2000] + "..." if len(repo_content) > 2000 else repo_content
-        
         status = f"✅ Repository '{repo_id}' loaded successfully!\n📁 Files processed and ready for exploration.\n🔄 Analyzing repository in chunks for comprehensive context...\n💬 You can now ask questions about this repository."
         
         # Create comprehensive context summary using chunk analysis
@@ -222,12 +220,12 @@ def handle_load_repository(repo_id: str) -> Tuple[str, str, str]:
         context_summary = create_repo_context_summary(repo_content, repo_id)
         
         logger.info(f"Repository {repo_id} loaded and analyzed successfully for exploration")
-        return status, preview, context_summary
+        return status, context_summary
         
     except Exception as e:
         logger.error(f"Error loading repository {repo_id}: {e}")
         error_status = f"❌ Error loading repository: {e}"
-        return error_status, "", ""
+        return error_status, ""
 
 def handle_repo_user_message(user_message: str, history: List[Dict[str, str]], repo_context_summary: str, repo_id: str) -> Tuple[List[Dict[str, str]], str]:
     """Handle user messages in the repo-specific chatbot."""
@@ -300,7 +298,7 @@ def setup_repo_explorer_events(components: Dict[str, gr.components.Component], s
     components["load_repo_btn"].click(
         fn=handle_load_repository,
         inputs=[components["repo_explorer_input"]],
-        outputs=[components["repo_status_display"], components["repo_content_display"], states["repo_context_summary"]]
+        outputs=[components["repo_status_display"], states["repo_context_summary"]]
     ).then(
         fn=lambda repo_id: repo_id,
         inputs=[components["repo_explorer_input"]],