Add expert checkbox to analysis feedback and improve feedback handling

app.py

@@ -622,10 +622,11 @@ def create_interface():
                     )
                     # Add thumbs up/down for analysis
                     analysis_feedback = gr.Radio(
-                        ["👍 Helpful", "👎 Not Helpful"], label="Was this analysis helpful?", visible=False
+                        ["👍 Helpful", "👎 Not Helpful"], label="Was this analysis helpful?",
                     )
-                    analysis_comment = gr.Textbox(label="Additional feedback on analysis (optional)", visible=False)
-                    flag_analysis_btn = gr.Button("Submit Analysis Feedback", visible=False)
+                    analysis_expert = gr.Checkbox(label="I am an expert in this field", value=False)
+                    analysis_comment = gr.Textbox(label="Additional feedback on analysis (optional)")
+                    flag_analysis_btn = gr.Button("Submit Analysis Feedback")
 
         # Set up logging directories
         data_path = "/data" if persistent_storage else "./data"
@@ -638,7 +639,7 @@ def create_interface():
             data_path + "/flagged_paper_matches",
         )
         analysis_logger.setup(
-            [abstract_input, paper_details_output, analysis_output, analysis_feedback, analysis_comment],
+            [abstract_input, paper_details_output, analysis_output, analysis_feedback, analysis_expert, analysis_comment],
             data_path + "/flagged_analyses",
         )
 
@@ -684,12 +685,8 @@ def create_interface():
             outputs=[paper_details_output, selected_paper_state],
             api_name=False,
         ).then(
-            lambda: gr.update(visible=True),  # Enable analyze button when paper selected
-            outputs=[analyze_btn],
-            api_name=False,
-        ).then(
-            lambda: gr.update(visible=True), gr.update(visible=True), gr.update(visible=True),  # Show feedback options
-            outputs=[paper_feedback, paper_comment, flag_paper_btn],
+            lambda: gr.update(visible=True), gr.update(visible=True),  # Show analyze button and feedback accordion
+            outputs=[analyze_btn, paper_feedback_accordion],
             api_name=False,
         )
 
@@ -701,21 +698,21 @@ def create_interface():
             show_progress_on=[paper_details_output, analysis_output],
             api_name=False,
         ).then(
-            show_feedback,
-            outputs=[analysis_feedback, analysis_comment, flag_analysis_btn],
+            lambda: gr.update(visible=True),  # Show feedback accordion
+            outputs=[analysis_feedback_accordion],
             api_name=False,
         )
 
         # Add flagging handlers
         flag_paper_btn.click(
             lambda *args: paper_match_logger.flag(list(args)),
-            inputs=[abstract_input, paper_details_output, paper_feedback, paper_comment],
+            inputs=[abstract_input, paper_details_output, paper_feedback, paper_expert, paper_comment],
             preprocess=False,
         )
 
         flag_analysis_btn.click(
             lambda *args: analysis_logger.flag(list(args)),
-            inputs=[paper_details_output, analysis_output, analysis_feedback, analysis_comment],
+            inputs=[abstract_input, paper_details_output, analysis_output, analysis_feedback, analysis_expert, analysis_comment],
             preprocess=False,
         )