Update app.py

app.py

@@ -575,13 +575,34 @@ def summarize_resume_text(resume_text, models):
     job_position = extract_job_position(resume_text)
     skills = extract_skills(resume_text)
     
+    # Generate overall summary using the pipeline model if available
+    try:
+        if has_pipeline and 'summarizer' in models:
+            # Truncate text to avoid issues with very long resumes
+            truncated_text = resume_text[:2000]  # Limit input to 2000 chars
+            
+            # Use pipeline model to generate the summary
+            model_summary = models['summarizer'](
+                truncated_text,
+                max_length=100,
+                min_length=30,
+                do_sample=False
+            )[0]['summary_text']
+        else:
+            # Fallback if pipeline is not available
+            model_summary = summarize_text(resume_text, models, max_length=100)
+    except Exception as e:
+        st.warning(f"Error in resume summarization: {e}")
+        model_summary = "Error generating summary. Please check the original resume."
+    
     # Format the structured summary with different paragraphs for each critical piece
     formatted_summary = f"Name: {name}\n\n"
     formatted_summary += f"Age: {age}\n\n"
     formatted_summary += f"Expected Industry: {industry}\n\n"
     formatted_summary += f"Expected Job Position: {job_position}\n\n"
     formatted_summary += f"Skills: {', '.join(skills)}\n\n"
-
+    formatted_summary += f"Summary: {model_summary}"
+    
     execution_time = time.time() - start_time
     
     return formatted_summary, execution_time