Update app.py

app.py

@@ -1,7 +1,6 @@
 import os
 import io
 import json
-import csv
 import asyncio
 import xml.etree.ElementTree as ET
 from typing import Any, Dict, Optional, Tuple, Union, List
@@ -150,19 +149,19 @@ def parse_pubmed_xml(xml_data: str) -> List[Dict[str, Any]]:
         })
     return articles
 
-def explain_clinical_results(results: str) -> str:
-    """Generate a clinical explanation from raw results."""
+def interpret_clinical_test_results(results: str) -> str:
+    """Generate an expert-level clinical interpretation from raw results."""
     try:
         response = client.chat.completions.create(
             model="gpt-3.5-turbo",
-            messages=[{"role": "user", "content": f"Explain the clinical test results:\n{results}"}],
+            messages=[{"role": "user", "content": f"Interpret these clinical test results:\n{results}"}],
             max_tokens=500,
             temperature=0.7,
         )
         return response.choices[0].message.content.strip()
     except Exception as e:
-        logger.error(f"Explanation error: {e}")
-        return "Failed to generate explanation."
+        logger.error(f"Interpretation error: {e}")
+        return "Failed to interpret results."
 
 ###############################################################################
 #                           6) CORE FUNCTIONS                                 #
@@ -176,7 +175,7 @@ def summarize_text(text: str) -> str:
         response = client.chat.completions.create(
             model="gpt-3.5-turbo",
             messages=[{"role": "user", "content": f"Summarize this clinical data:\n{text}"}],
-            max_tokens=200,
+            max_tokens=300,
             temperature=0.7,
         )
         return response.choices[0].message.content.strip()
@@ -230,7 +229,7 @@ with gr.Blocks() as demo:
     gr.Markdown("""
 **Highlights**:  
 - **Summarize** clinical text (OpenAI GPT-3.5)  
-- **Explain** clinical test results and trial outcomes  
+- **Interpret** clinical test results with expert-level insights
 - **Generate** professional PDF reports  
 """)
 
@@ -238,7 +237,7 @@ with gr.Blocks() as demo:
     action = gr.Radio(
         [
             "Summarize",
-            "Explain Clinical Results",
+            "Interpret Clinical Test Results",
             "Generate Report",
         ],
         label="Select an Action",
@@ -262,9 +261,9 @@ with gr.Blocks() as demo:
                 summary = summarize_text(combined_text)
                 return summary, None
 
-            elif action == "Explain Clinical Results":
-                explanation = explain_clinical_results(combined_text)
-                return explanation, None
+            elif action == "Interpret Clinical Test Results":
+                interpretation = interpret_clinical_test_results(combined_text)
+                return interpretation, None
 
             elif action == "Generate Report":
                 path = generate_report(combined_text, report_fn)