Upload app.py

app.py

@@ -11,7 +11,7 @@ def load_sample_question(question):
     return question
 
 def clear_selection():
-    return gr.update(value=[]), "", ""  # Reset doc_selector to empty list
+    return gr.update(value=[]), "", "", gr.update(value=[])  # Reset doc_selector to empty list
 
 def process_uploaded_file(file, current_selection):
     """Process uploaded file using DocumentManager and update UI."""
@@ -126,16 +126,7 @@ with gr.Blocks(css="""
                     filename_state
                 ]
             )
-            clear_btn.click(
-                clear_selection,
-                outputs=[doc_selector, upload_status, filename_state]
-            )
-            # Reinitialize LLM when the model changes
-            model_selector.change(
-                app_config.gen_llm.reinitialize_llm,
-                inputs=[model_selector],
-                outputs=[upload_status]
-            )
+            
 
         # Middle Section (Chat & LLM Response)
         with gr.Column(scale=6):
@@ -159,12 +150,17 @@ with gr.Blocks(css="""
                     interactive=True,
                     allow_custom_value=True  # Allows users to type custom questions if needed
                 )
-                '''question_dropdown = gr.Dropdown(
-                    label="",
-                    choices=all_questions,
-                    interactive=True,
-                    info="Choose a question from the dropdown to populate the query box."
-                )'''
+            
+            clear_btn.click(
+                clear_selection,
+                outputs=[doc_selector, upload_status, filename_state, sample_questions]
+            )
+            # Reinitialize LLM when the model changes
+            model_selector.change(
+                app_config.gen_llm.reinitialize_llm,
+                inputs=[model_selector],
+                outputs=[upload_status]
+            )
 
            # After upload, generate "Auto Summary" message only if trigger_summary is True
             upload_event.then(
@@ -192,7 +188,10 @@ with gr.Blocks(css="""
                     inputs=[chunks_state],
                     outputs=[sample_questions_state]
                 ).then(
-                    fn=lambda questions: gr.update(choices=questions if questions else ["No questions available"]),
+                    fn=lambda questions: gr.update(
+                        choices=questions if questions else ["No questions available"],
+                        value=questions[0] if questions else None  # Set the first question as default
+                    ),
                     inputs=[sample_questions_state],
                     outputs=[sample_questions]
                 )