Update app.py

app.py

@@ -133,40 +133,11 @@ def analyze_sentiment(text):
 
 # --- Updated Resume Analysis Function --- #
 def analyze_resume(resume_file, job_description_file):
+    """Analyzes the resume and job description for skills, qualifications, and experience."""
     # 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)
 
-    # Perform various analyses...
-    skills_similarity = compute_skills_similarity(resume_text, job_description_text)
-    qualifications_similarity = compute_qualifications_similarity(resume_text, job_description_text)
-    experience_similarity = compute_experience_similarity(resume_text, job_description_text)
-
-    # Analyze sentiment for the resume
-    sentiment = analyze_sentiment(resume_text)
-
-    # Summarize experiences
-    resume_experience_summary = summarize_experience(resume_text)
-    job_description_experience_summary = summarize_experience(job_description_text)
-
-    # Extract skills
-    resume_skills = extract_skills(resume_text)
-    job_description_skills = extract_skills(job_description_text)
-
-    response_message = f"After a detailed analysis of the candidate's resume..."
-
-    return (
-        response_message,
-        skills_similarity,
-        qualifications_similarity,
-        experience_similarity,
-        sentiment,
-        resume_experience_summary,
-        job_description_experience_summary,
-        resume_skills,
-        job_description_skills
-    )
-
     # Extract skills, qualifications, and experience
     resume_skills = extract_skills_llama(resume_text)
     job_description_skills = process_job_description(job_description_text)
@@ -175,10 +146,6 @@ def analyze_resume(resume_file, job_description_file):
     resume_experience, resume_job_titles = extract_experience(resume_text)
     job_description_experience, job_description_titles = extract_experience(job_description_text)
 
-    # Summarize experiences
-    resume_experience_summary = summarize_experience(resume_text)
-    job_description_experience_summary = summarize_experience(job_description_text)
-
     # Calculate semantic similarity for different sections in percentages
     skills_similarity = calculate_semantic_similarity(' '.join(resume_skills), ' '.join(job_description_skills))
     qualifications_similarity = calculate_semantic_similarity(' '.join(resume_qualifications), ' '.join(job_description_qualifications))
@@ -186,7 +153,6 @@ def analyze_resume(resume_file, job_description_file):
 
     # Assuming candidate experience is the total of years from the resume
     candidate_experience = sum(resume_experience)
-    required_experience = sum(job_description_experience)  # This assumes job description contains required experience as years
 
     # Generate communication based on analysis
     response_message = communication_generator(
@@ -207,51 +173,35 @@ def analyze_resume(resume_file, job_description_file):
         "experience_similarity": experience_similarity,
         "response_message": response_message,
         "sentiment": sentiment,
-        "resume_experience_summary": resume_experience_summary,
-        "job_description_experience_summary": job_description_experience_summary,
-        "resume_skills": resume_skills,
-        "job_description_skills": job_description_skills,
+        "candidate_experience": candidate_experience
     }
 
 # --- Gradio Interface --- #
-def gradio_interface():
-    """Defines and runs the Gradio interface."""
+def run_gradio_interface():
+    """Runs the Gradio app interface."""
     with gr.Blocks() as demo:
         gr.Markdown("# Resume Analyzer")
         with gr.Row():
-            resume_file = gr.File(label="Upload Resume (PDF/TXT)")
-            job_description_file = gr.File(label="Upload Job Description (PDF/TXT)")
-            analyze_button = gr.Button("Analyze")
-
-        with gr.Tab("Results"):
-            output_message = gr.Textbox(label="Analysis Message", lines=10)
-            skills_similarity_output = gr.Number(label="Skills Similarity (%)")
-            qualifications_similarity_output = gr.Number(label="Qualifications Similarity (%)")
-            experience_similarity_output = gr.Number(label="Experience Similarity (%)")
-            sentiment_output = gr.Textbox(label="Sentiment Analysis")
-            resume_summary_output = gr.Textbox(label="Resume Experience Summary", lines=5)
-            job_description_summary_output = gr.Textbox(label="Job Description Experience Summary", lines=5)
-            resume_skills_output = gr.Textbox(label="Resume Skills", lines=5)
-            job_description_skills_output = gr.Textbox(label="Job Description Skills", lines=5)
-
-        # Link the button to the analysis function
-        analyze_button.click(
-            analyze_resume,
-            inputs=[resume_file, job_description_file],
-            outputs=[
-                output_message,
-                skills_similarity_output,
-                qualifications_similarity_output,
-                experience_similarity_output,
-                sentiment_output,
-                resume_summary_output,
-                job_description_summary_output,
-                resume_skills_output,
-                job_description_skills_output,
-            ]
-        )
+            resume_file_input = gr.File(label="Upload Resume (PDF/TXT)")
+            job_description_file_input = gr.File(label="Upload Job Description (PDF/TXT)")
+            analyze_button = gr.Button("Analyze Resume")
+        
+        output_display = gr.Output()
+
+        def analyze_callback(resume_file, job_description_file):
+            analysis_results = analyze_resume(resume_file, job_description_file)
+            return (
+                f"**Skills Similarity**: {analysis_results['skills_similarity']:.2f}%\n"
+                f"**Qualifications Similarity**: {analysis_results['qualifications_similarity']:.2f}%\n"
+                f"**Experience Similarity**: {analysis_results['experience_similarity']:.2f}%\n"
+                f"**Candidate Experience**: {analysis_results['candidate_experience']} years\n"
+                f"**Sentiment**: {analysis_results['sentiment']}\n"
+                f"**Response Message**:\n{analysis_results['response_message']}"
+            )
+
+        analyze_button.click(analyze_callback, inputs=[resume_file_input, job_description_file_input], outputs=output_display)
 
     demo.launch()
 
-# Execute the Gradio interface
-gradio_interface()
+if __name__ == "__main__":
+    run_gradio_interface()