Update app.py

app.py

@@ -575,91 +575,17 @@ def summarize_resume_text(resume_text, models):
     job_position = extract_job_position(resume_text)
     skills = extract_skills(resume_text)
     
-    # Extract work experience section
-    work_experience_text = extract_work_experience_section(resume_text)
-    
-    # Use the summarization model to summarize the work experience
-    if work_experience_text:
-        # Summarize work experience using the model
-        work_summary = summarize_text(work_experience_text, models, max_length=150)
-    else:
-        work_summary = "No detailed work experience found in the 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"Previous Work Experience: {work_summary}"
-    
+
     execution_time = time.time() - start_time
     
     return formatted_summary, execution_time
 
-# Extract work experience section
-def extract_work_experience_section(text):
-    """Extract work experience section from resume for summarization"""
-    # Work experience extraction
-    work_headers = [
-        "work experience", "professional experience", "employment history", 
-        "work history", "experience"
-    ]
-    
-    next_section_headers = [
-        "education", "skills", "certifications", "projects", "achievements"
-    ]
-    
-    # Process everything at once
-    lines = text.split('\n')
-    text_lower = text.lower()
-    
-    # Work experience extraction
-    work_section = []
-    in_work_section = False
-    
-    for idx, line in enumerate(lines):
-        line_lower = line.lower().strip()
-        
-        # Start of work section
-        if not in_work_section:
-            if any(header in line_lower for header in work_headers):
-                in_work_section = True
-                continue
-        # End of work section
-        elif in_work_section:
-            if any(header in line_lower for header in next_section_headers):
-                break
-            
-            if line.strip():
-                work_section.append(line.strip())
-    
-    # If we found a work section, join it back into text for summarization
-    if work_section:
-        return "\n".join(work_section)
-    
-    # If no explicit work section found, try to extract paragraphs that might contain work experience
-    # Look for company names, dates, job titles
-    work_related_paragraphs = []
-    paragraphs = text.split('\n\n')
-    
-    for paragraph in paragraphs:
-        # Check if paragraph has dates that look like work experience
-        if re.search(r'(19|20)\d{2}\s*-\s*(19|20)\d{2}|present|current', paragraph, re.IGNORECASE):
-            work_related_paragraphs.append(paragraph)
-        # Check for common job titles
-        elif re.search(r'\b(engineer|developer|manager|analyst|director|consultant|specialist)\b', 
-                      paragraph, re.IGNORECASE):
-            work_related_paragraphs.append(paragraph)
-        # Check for company indicators
-        elif re.search(r'\b(company|corporation|inc\.|corp\.|ltd\.)\b', paragraph, re.IGNORECASE):
-            work_related_paragraphs.append(paragraph)
-    
-    if work_related_paragraphs:
-        return "\n\n".join(work_related_paragraphs)
-    
-    return ""  # Return empty string if no work experience found
-
 #####################################
 # Function: Extract Job Requirements
 #####################################