Upload app.py

app.py

@@ -103,7 +103,7 @@ def match_clinical_trials_dropdown(patient_summary: str):
     # Build the dropdown choices, e.g., "NCT001 - Some Title"
     dropdown_options = []
     for this_index, row in out_df.iterrows():
-        option_str = f"{this_index} - {row['nct_id']} - {row['trial_title']}"
+        option_str = f"{this_index}\.  {row['nct_id']} - {row['trial_title']}"
         dropdown_options.append(option_str)
 
     # Return an update for the dropdown (choices + clear any initial value)
@@ -124,9 +124,10 @@ def show_selected_trial(selected_option: str, df: pd.DataFrame):
         return ""
 
     # Parse NCT ID from "NCT001 - Some Title"
-    nct_id = selected_option.split(" - ")[0].strip()
+    chosen_index = selected_option.split("\.")[0].strip()
 
-    row = df[df['nct_id'] == nct_id]
+    #row = df[df['nct_id'] == nct_id]
+    row = df.iloc[[chosen_index]]
     if row.empty:
         return "No data found for the selected trial."
 
@@ -163,8 +164,8 @@ custom_css = """
 with gr.Blocks(css=custom_css) as demo:
     # Intro text
     gr.HTML("""
-    <h3>Alpha Version of Clinical Trial Search (Dropdown Results)</h3>
-    <p>Based on clinicaltrials.gov cancer trials export 10/31/24</p>
+    <h3>Demonstration version of clinical trial search based on MatchMiner-AI</h3>
+    <p>Based on clinicaltrials.gov cancer trials export 10/31/24.</p>
     <p>Queries take approximately 30 seconds to run.</p>
     """)
 
@@ -172,7 +173,7 @@ with gr.Blocks(css=custom_css) as demo:
     patient_summary_input = gr.Textbox(
         label="Enter Patient Summary",
         elem_id="input_box",
-        value="70M with metastatic lung adenocarcinoma, KRAS G12C mutation, PD-L1 high, previously treated with pembrolizumab."
+        value="metastatic lung adenocarcinoma, KRAS G12C mutation, PD-L1 high, previously treated with pembrolizumab."
     )
 
     # Button to run the matching