Update app.py

app.py

@@ -50,12 +50,16 @@ xgr_logits_processor = xgr.contrib.hf.LogitsProcessor(compiled_grammar)
 
 prompt = """You are a text extraction system for clinical reports.
 Please extract relevant clinical information from the report.
+
 ### Instructions
+
 - Use the JSON Schema given below.
 - Return only a valid JSON object – no markdown, no comments.
 - If no relevant facts are given for a field, set its value to "N/A".
 - If multile relevant facts are given for a field, separate them with "; ".
+
 ### JSON Schema
+
 {
   'life_style': '',
   'family_history': '',
@@ -73,6 +77,7 @@ Please extract relevant clinical information from the report.
   'age': '',
   'gender': '',
 }
+
 ### Clinical Report
 """
 
@@ -387,33 +392,49 @@ with gr.Blocks() as demo:
             )
 
         with gr.Tab("Help"):
-            gr.Markdown("""### Personal Information
-        
+            gr.Markdown("""## Help
+            
+### Personal Information        
+
 **Age**: Age of the patient.<br>
 **Gender**: Gender of the patient.<br>
 **Lifestyle**: Daily habits and activities of the patient (e.g. alcohol consumption, diet, smoking status).<br>
 **Social Background**: Social factors of the patient (e.g. housing situation, marital status).<br>
+
 ### Medical History
+
 **Personal**: Past medical conditions, previous surgeries or treatments of the patient.<br>
 **Family Members**: Relevant medical conditions or genetic disorders in the patient’s family (e.g. cancer, heart disease).<br>
+
 ### Clinical Presentation
+
 **Symptoms**: Current symptoms of the patient.<br>
 **Comorbid Conditions**: Other medical conditions of the patient that may influence the treatment.<br>
+
 ### Medical Assessment
+
 **Diagnostic Procedures**: Description of the diagnostic tests or procedures performed (e.g. X-rays, MRIs)<br>
 **Laboratory Results**: Results foom laboratory test (e.g. blood counts, electrolyte levels)<br>
 **Pathology Report**: Findings from pathological examinations (e.g. biopsy results)<br>
+
 ### Diagnosis
+
 **Diagnosis**: All levels of diagnosis mentioned in the report.<br>
+
 ### Treatment
+
 **Interventional Therapy**: Medications prescribed to the patient.<br>
 **Pharmacological Therapy**: Information on surgical or non-surgical interventions performed.<br>
+
 ### Patient Outcome
+
 **Patient Outcome**: Evaluation of the patient’s health status at the end of treatment.<br>
 """)
             
         with gr.Tab("About"):
-            gr.Markdown("""LlamaMD is a project developed as part of the "NLP for Social Good" course at TU Berlin.
+            gr.Markdown("""## About
+
+LlamaMD is a project developed as part of the "NLP for Social Good" course at TU Berlin.
             
 The goal of this project is to perform structured information extraction from clinical reports, helping doctors to have more time for their patients.