csv_clickable

app.py

@@ -284,6 +284,24 @@ def create_ui() -> gr.Blocks:
     .gr-dataframe td:nth-child(4) { width: 20%; }
     .gr-dataframe th:nth-child(5),
     .gr-dataframe td:nth-child(5) { width: 15%; }
+    
+    /* Make repository names clickable */
+    .gr-dataframe td:nth-child(1) {
+        cursor: pointer;
+        color: #667eea;
+        font-weight: 600;
+        transition: all 0.3s ease;
+    }
+    
+    .gr-dataframe td:nth-child(1):hover {
+        background-color: rgba(102, 126, 234, 0.1);
+        color: #764ba2;
+        transform: scale(1.02);
+    }
+    
+    .gr-dataframe tbody tr:hover {
+        background-color: rgba(102, 126, 234, 0.05);
+    }
     """
 
     with gr.Blocks(
@@ -380,10 +398,11 @@ def create_ui() -> gr.Blocks:
                         )
 
                 gr.Markdown("### 📊 Results Dashboard")
+                gr.Markdown("💡 **Tip:** Click on any repository name to explore it in detail!")
                 df_output = gr.Dataframe(
                     headers=["Repository", "Strengths", "Weaknesses", "Speciality", "Relevance"],
                     wrap=True,
-                    interactive=False
+                    interactive=True  # Make it interactive to detect selections
                 )
 
             # --- Chatbot Tab ---
@@ -566,6 +585,28 @@ def create_ui() -> gr.Blocks:
             status = "Status: Keywords extracted. User requirements saved for analysis."
             return final_keywords_str, status, user_requirements
 
+        def handle_dataframe_select(evt: gr.SelectData, df_data) -> Tuple[str, Any]:
+            """Handle dataframe row selection and navigate to repo explorer."""
+            if evt is None or df_data is None or len(df_data) == 0:
+                return "", gr.update()
+            
+            try:
+                # Get the selected row index
+                row_index = evt.index[0] if isinstance(evt.index, (list, tuple)) else evt.index
+                
+                # Get the repository ID from the first column of the selected row
+                if row_index < len(df_data):
+                    repo_id = df_data[row_index][0] if len(df_data[row_index]) > 0 else ""
+                    
+                    # Navigate to repo explorer tab and pre-fill the repository ID
+                    logger.info(f"Navigating to repo explorer for repository: {repo_id}")
+                    return repo_id, gr.update(selected="repo_explorer_tab")
+                
+            except Exception as e:
+                logger.error(f"Error handling dataframe selection: {e}")
+            
+            return "", gr.update()
+
         # --- Component Event Wiring ---
         
         # Initialize chatbot with welcome message on app load
@@ -630,6 +671,13 @@ def create_ui() -> gr.Blocks:
         # Repo Explorer Tab
         setup_repo_explorer_events(repo_components, repo_states)
         
+        # Add dataframe selection event
+        df_output.select(
+            fn=handle_dataframe_select,
+            inputs=[df_output],
+            outputs=[repo_components["repo_explorer_input"], tabs]
+        )
+        
     return app
 
 if __name__ == "__main__":

repo_explorer.py

@@ -161,7 +161,8 @@ def create_repo_explorer_tab() -> Tuple[Dict[str, gr.components.Component], Dict
                     "https://cdn-icons-png.flaticon.com/512/149/149071.png",
                     "https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.png"
                 ),
-                show_copy_button=True
+                show_copy_button=True,
+                value=[{"role": "assistant", "content": "👋 Welcome to the Repository Explorer! \n\n🔍 **How to get started:**\n1. Enter a Hugging Face repository ID above (e.g., 'microsoft/DialoGPT-medium')\n2. Click '🚀 Load Repository' to download and analyze the repository\n3. Once loaded, I'll have comprehensive knowledge of all the files and can answer questions about:\n   • What the repository does\n   • How to install and use it\n   • Code structure and architecture\n   • Key features and capabilities\n   • Examples and usage patterns\n\n💡 **Tip:** I analyze repositories in chunks to understand the entire codebase, not just a summary!\n\nPlease load a repository to begin exploring! 🚀"}]
             )
             
             with gr.Row():