Update app.py

app.py

@@ -165,7 +165,6 @@ def process_pipeline(pdf_file, hcc_code, model_version, csv_path=CSV_PATH, outpu
         demographics_info = demographics_engine.run()
         print(f"[DEMOGRAPHICS] Extracted: {demographics_info}")
 
-        # --- MODIFICATION: Using the elaborated method for demographics ---
         initial_report_data = {
             "file_name": file_name,
             "hcc_code": hcc_code_str,
@@ -179,7 +178,6 @@ def process_pipeline(pdf_file, hcc_code, model_version, csv_path=CSV_PATH, outpu
             "phone": demographics_info.get("phone", ""),
             "patient_identifier": demographics_info.get("patient_identifier", "")
         }
-        # --- END OF MODIFICATION ---
         demographics_md = json_to_markdown(initial_report_data)
         yield demographics_md
         time.sleep(0.5)
@@ -249,7 +247,6 @@ def process_pipeline(pdf_file, hcc_code, model_version, csv_path=CSV_PATH, outpu
 
         filtered_final_analysis = [e for e in final_analysis if e.get("answer_explicit", "").lower() == "yes" or e.get("answer_implicit", "").lower() == "yes"]
 
-        # --- MODIFICATION: Using the elaborated method for demographics ---
         output_data = {
             "file_name": file_name,
             "hcc_code": hcc_code_str,
@@ -263,7 +260,6 @@ def process_pipeline(pdf_file, hcc_code, model_version, csv_path=CSV_PATH, outpu
             "phone": demographics_info.get("phone", ""),
             "patient_identifier": demographics_info.get("patient_identifier", "")
         }
-        # --- END OF MODIFICATION ---
 
         elapsed = time.time() - start
         yield json_to_markdown(output_data) + f"<br/><div style='color:green;'>✅ Completed in {elapsed:.1f} sec</div>"
@@ -341,11 +337,18 @@ with gr.Blocks(theme=simple_theme, title=APP_TITLE) as interface:
         outputs=[output_md],
     )
 
-    gr.Examples(
-        examples=[[SAMPLE_PDF, "12", "V24"]],
-        inputs=[pdf_upload, hcc_code, model_version],
-        cache_examples=False
-    )
+    # --- MODIFICATION: Adjusted column scaling to make the Examples section smaller ---
+    with gr.Row():
+        with gr.Column(scale=1):  # This column will be smaller
+            gr.Examples(
+                examples=[[SAMPLE_PDF, "12", "V24"]],
+                inputs=[pdf_upload, hcc_code, model_version],
+                label="Click to load an example",
+                cache_examples=False
+            )
+        with gr.Column(scale=2):  # This empty column will take up the remaining space
+            pass
+    # --- END OF MODIFICATION ---
 
 
 if __name__ == "__main__":
@@ -354,7 +357,6 @@ if __name__ == "__main__":
         server_port=int(os.environ.get("PORT", 7860))
     )
 
-
 # import os
 # import gradio as gr
 # import json