update

app.py

@@ -189,7 +189,7 @@ criteria_for_comparison = [
     {
         "label": "Alignment with clinical consensus",
         "text": (
-            "Which response is more consistent with established clinical guidelines and widely accepted practice standards?"
+            "Which response aligns better with clinical guidelines and practice standards?"
         )
     },
     {
@@ -394,10 +394,10 @@ def calculate_progress_info(progress_state, remaining_count=None):
     # Create progress text - show remaining questions if remaining_count is available
     if remaining_count_to_use is not None and total_pairs > 0:
         num_remaining_questions = remaining_count_to_use // total_pairs
-        pairwise_progress_text = f"Current Question Evaluation Progress: {num_remaining_questions} question(s) remaining to evaluate"
-        # pairwise_progress_text = f"Current Question Evaluation Progress: {pairwise_done}/{total_pairs} pairs completed ({num_remaining_questions} question(s) remaining to evaluate)"
+        pairwise_progress_text = f"Current Evaluation Progress: {num_remaining_questions} questions remaining."
+        # pairwise_progress_text = f"Current Evaluation Progress: {pairwise_done}/{total_pairs} pairs completed ({num_remaining_questions} question(s) remaining to evaluate)"
     else:
-        pairwise_progress_text = f"Current Question Evaluation Progress: {pairwise_done}/{total_pairs} pairs completed ({pairwise_remaining} remaining)"
+        pairwise_progress_text = f"Current Evaluation Progress: {pairwise_done}/{total_pairs} pairs completed ({pairwise_remaining} remaining)"
     
     return {
         'pairwise_completed': pairwise_done,
@@ -1075,7 +1075,7 @@ def advance_workflow(progress_state, data_subset_state, current_pairwise=None, c
                 missing_comparisons.append(criteria_for_comparison[i]['label'])
 
         missing_text = ", ".join(missing_comparisons)
-        error_msg = f"Please select an option for the following pairwise comparison(s): {missing_text}"
+        error_msg = f"Your response is missing for: {missing_text}"
         gr.Info(error_msg)
         return {
             'progress_state': progress_state,
@@ -1663,13 +1663,13 @@ with gr.Blocks(css=centered_col_css) as demo:
     with gr.Column(visible=True, elem_id="page0") as page0:
         gr.HTML("""
         <div>
-            <h1>TxAgent Evaluation Portal</h1>
+            <h1>TxAgent Portal: AI Agent Evaluation</h1>
         </div>
         """)
-        gr.Markdown("## Information:")
+        gr.Markdown("## Sign Up")
         name = gr.Textbox(label="Name (required)", value="")
         email = gr.Textbox(
-            label="Email (required). Please use the same email every time you log onto this evaluation portal, as we use your email to prevent showing repeat questions.", value="")
+            label="Email (required). Use the same email each time you log into the evaluation portal. Your email ensures you will not receive repeat questions.", value="")
         evaluator_id = gr.Textbox(
             label="Evaluator ID (auto-filled from email above)", interactive=False, visible=False)
 
@@ -1684,26 +1684,26 @@ with gr.Blocks(css=centered_col_css) as demo:
         )
         
         specialty_dd = gr.Dropdown(
-            choices=specialties_list, label="Primary Medical Specialty (required). Go to https://www.abms.org/member-boards/specialty-subspecialty-certificates/ for categorization)", multiselect=True, value=["None"], visible=False)
+            choices=specialties_list, label="Primary Medical Specialty (required). Visit https://www.abms.org/member-boards/specialty-subspecialty-certificates/ for categories.", multiselect=True, value=["None"], visible=False)
         subspecialty_dd = gr.Dropdown(
-            choices=subspecialties_list, label="Subspecialty (if applicable). Go to https://www.abms.org/member-boards/specialty-subspecialty-certificates/ for categorization)", multiselect=True, value=["None"], visible=False)
+            choices=subspecialties_list, label="Subspecialty (if applicable). Visit https://www.abms.org/member-boards/specialty-subspecialty-certificates/ for categories.", multiselect=True, value=["None"], visible=False)
         npi_id = gr.Textbox(
-            label="National Provider Identifier ID (optional). Got to https://npiregistry.cms.hhs.gov/search to search for your NPI ID. If you do not have an NPI ID, please leave this blank.")
+            label="National Provider Identifier ID (optional). Visit https://npiregistry.cms.hhs.gov/search to find your NPI ID. Leave blank if you do not have an NPI ID.")
         years_exp_radio = gr.Radio(
             choices=["0-2 years", "3-5 years", "6-10 years",
                     "11-20 years", "20+ years", "Not Applicable"],
-            label="How many years have you been involved in clinical and/or research activities related to your biomedical area of expertise? (required)",
+            label="Years of experience in clinical and/or research activities related to your biomedical expertise (required).",
             value="Not Applicable",
             visible=False
         )
         exp_explanation_tb = gr.Textbox(
-            label="Please briefly explain your expertise/experience relevant to evaluating AI for clinical decision support (optional)")
+            label="Briefly describe your expertise in AI (optional).")
 
         page0_error_box = gr.Markdown("")
         with gr.Row():
             next_btn_0 = gr.Button("Next")
 
-        gr.Markdown("""By clicking 'Next' below, you will start the study, with your progress saved after submitting each question. If you have any other questions or concerns, please contact us directly. Thank you for your participation!
+        gr.Markdown("""Click Next to start the study. Your progress will be saved after you submit each question. For questions or concerns, contact us directly. Thank you for participating!
         """)
 
         # gr.Markdown("""
@@ -1849,12 +1849,12 @@ with gr.Blocks(css=centered_col_css) as demo:
             with gr.Row():
                 with gr.Column(scale=1):
                     rating_a = gr.Radio(choices=sorted(crit_score["scores"]),  # ["1", "2", "3", "4", "5", "Unable to Judge"],
-                                        label=f"Response A - {crit_score['text']}",
+                                        label=f"Model A Response - {crit_score['text']}",
                                         interactive=True,
                                         elem_classes="criteria-radio-score-label")
                 with gr.Column(scale=1):
                     rating_b = gr.Radio(choices=sorted(crit_score["scores"]),  # ["1", "2", "3", "4", "5", "Unable to Judge"],
-                                        label=f"Response B - {crit_score['text']}",
+                                        label=f"Model B Response - {crit_score['text']}",
                                         interactive=True,
                                         elem_classes="criteria-radio-score-label")