Update app.py

app.py

@@ -155,13 +155,13 @@ def analyze_resume(resume_text):
         f"This resume shows strong managerial responsibilities: {resume_text}",
         f"This resume demonstrates excellent leadership skills: {resume_text}",
         f"This resume indicates significant work experience: {resume_text}",
-        f"This resume highlights at least 2 years of relevant experience: {resume_text}"
+        f"This resume indicates at least 2 years of relevant experience: {resume_text}"
     ]
 
-    # Analyze each prompt using the model
     results = []
     for prompt in prompts:
-        inputs = tokenizer(prompt, return_tensors="pt", truncation=True)  # Truncate if needed
+        # Tokenize the prompt with truncation
+        inputs = tokenizer(prompt, return_tensors="pt", truncation=True)
         outputs = model(**inputs)
         predicted_class = torch.argmax(outputs.logits).item()
         results.append(predicted_class)
@@ -208,20 +208,6 @@ if uploaded_file and job_description:
         data['Email'] = email if email != "Not Available" else "Not Available"
         data['Contact'] = contact if contact != "Not Available" else "Not Available"
 
-        # Extract team leadership and management experience
-        team_leadership_years = extract_experience_years(resume_text)
-        management_years = extract_experience_years(resume_text)
-        data['Direct_Team_Leadership_Experience_Years'] = team_leadership_years if team_leadership_years > 0 else "Not Available"
-        data['Direct_Management_Experience_Years'] = management_years if management_years > 0 else "Not Available"
-
-        # Extract skills using the NER model
-        relevant_skills = extract_skills(resume_text)
-        data['Relevant_Skills_and_Qualifications'] = relevant_skills if relevant_skills != "Not Available" else "Not Available"
-
-        # Extract education using the NER model or regex
-        educational_background = extract_education(resume_text)
-        data['Educational_Background'] = educational_background if educational_background != "Not Available" else "Not Available"
-
         # Calculate match percentage dynamically
         match_percentage = calculate_match_percentage(resume_text, job_description)
         data['Match_Percentage'] = match_percentage