Update app.py

app.py

@@ -120,6 +120,9 @@ def communication_generator(resume_skills, job_description_skills, skills_simila
 
 # --- Updated Resume Analysis Function --- #
 def analyze_resume(resume_file, job_description_file):
+    if not resume_file or not job_description_file:
+        return "", "", "", "Please upload both files."
+
     # Load and preprocess resume and job description
     resume_text = extract_text_from_file(resume_file)
     job_description_text = extract_text_from_file(job_description_file)
@@ -141,9 +144,6 @@ def analyze_resume(resume_file, job_description_file):
     qualifications_similarity = len(set(resume_qualifications).intersection(set(job_description_qualifications))) / len(job_description_qualifications) * 100 if job_description_qualifications else 0
     experience_similarity = 1.0 if total_experience >= required_experience else 0.0
 
-    # Sentiment analysis of the resume
-    sentiment_analysis_result = analyze_sentiment(resume_text)
-
     # Fit assessment logic
     fit_score = 0
     if total_experience >= required_experience:
@@ -169,7 +169,6 @@ def analyze_resume(resume_file, job_description_file):
         f"- **Experience Similarity**: {experience_similarity * 100:.2f}%\n"
         f"- **Candidate Experience**: {total_experience} years\n"
         f"- **Fit Assessment**: {fit_assessment}\n"
-        f"- **Sentiment Analysis**: {sentiment_analysis_result}\n"
     )
 
     skills_message = (
@@ -190,10 +189,8 @@ def analyze_resume(resume_file, job_description_file):
         f"- **Required Experience:** {required_experience} years\n"
     )
 
-    # Generate communication based on analysis
-    communication = communication_generator(resume_skills, job_description_skills, skills_similarity, qualifications_similarity, experience_similarity, total_experience)
+    return summary_message, skills_message, qualifications_message, experience_message
 
-    return summary_message, skills_message, qualifications_message, experience_message, communication
 
 def run_gradio_interface():
     with gr.Blocks() as demo:
@@ -226,13 +223,11 @@ def run_gradio_interface():
 
         analyze_button = gr.Button("Analyze")
 
-        def analyze(resume, job_desc):
-            if resume and job_desc:
-                summary, skills, qualifications, experience = analyze_resume(resume, job_desc)
-                return summary, skills, qualifications, experience
-            return "Please upload both files."
+     def analyze(resume, job_desc):
+    # Always ensure the correct number of return values
+    summary, skills, qualifications, experience = analyze_resume(resume, job_desc)
+    return summary, skills, qualifications, experience
 
-        analyze_button.click(analyze, inputs=[resume_file, job_description_file], outputs=[summary_output, skills_output, qualifications_output, experience_output])
 
     demo.launch()