Refactor feedback logging setup and add expert checkbox for paper matches

app.py

@@ -599,10 +599,8 @@ def create_interface():
                 paper_feedback = gr.Radio(
                     ["👍 Good Match", "👎 Poor Match"], label="Is this paper a good match?", visible=False
                 )
-                paper_comment = gr.Textbox(
-                    label="Additional feedback on this paper match (optional)", 
-                    visible=False
-                )
+                paper_expert = gr.Checkbox(label="I am an expert in this field", value=False, visible=False)
+                paper_comment = gr.Textbox(label="Additional feedback on this paper match (optional)", visible=False)
                 flag_paper_btn = gr.Button("Submit Paper Feedback", visible=False)
 
             with gr.Column(scale=1):
@@ -625,12 +623,20 @@ def create_interface():
                 )
                 flag_analysis_btn = gr.Button("Submit Analysis Feedback", visible=False)
 
-        # Set up loggers for analysis and paper match feedback
+        # Set up logging directories
         data_path = "/data" if persistent_storage else "./data"
-        os.makedirs(data_path + "/flagged_analyses", exist_ok=True)
         os.makedirs(data_path + "/flagged_paper_matches", exist_ok=True)
-        analysis_logger.setup([paper_details_output, analysis_output, analysis_feedback, analysis_comment], data_path + "/flagged_analyses")
-        paper_match_logger.setup([abstract_input, paper_details_output, paper_feedback, paper_comment], data_path + "/flagged_paper_matches")
+        os.makedirs(data_path + "/flagged_analyses", exist_ok=True)
+
+        # Set up loggers
+        paper_match_logger.setup(
+            [abstract_input, paper_details_output, paper_feedback, paper_expert, paper_comment],
+            data_path + "/flagged_paper_matches",
+        )
+        analysis_logger.setup(
+            [paper_details_output, analysis_output, analysis_feedback, analysis_comment],
+            data_path + "/flagged_analyses",
+        )
 
         # Show feedback component
         def show_feedback():