Update app.py

app.py

@@ -46,10 +46,8 @@ predefined_skills_list.update([
     "data engineer", "software engineer", "full stack", "frontend", "backend"
 ])
 
-
 # --- Text Extraction Functions (Adapted for file paths in Gradio's File component) ---
 # Gradio's gr.File component provides a file path to the temporary uploaded file.
-
 def extract_text_from_pdf(pdf_path):
     """
     Extracts text from a PDF file given its path.
@@ -259,7 +257,6 @@ def create_top_keywords_plot(cv_keywords, jd_keywords):
     plt.tight_layout()
     return fig
 
-
 # --- Main Gradio Interface Function ---
 def analyze_cv_match(cv_file_obj, cv_text_input, jd_text_input):
     """
@@ -272,17 +269,14 @@ def analyze_cv_match(cv_file_obj, cv_text_input, jd_text_input):
         cv_content = get_file_content(cv_file_obj)
     elif cv_text_input:
         cv_content = cv_text_input
-
     if not cv_content:
         return (f"<h4><p style='color:red;'>🚨 Error: Please upload a CV file or paste your CV text.</p></h4>",
                 None, None, None, "Analysis Failed")
     if not jd_text_input:
         return (f"<h4><p style='color:red;'>🚨 Error: Please paste the Job Description text.</p></h4>",
                 None, None, None, "Analysis Failed")
-
     try:
         analysis_results = perform_cv_job_analysis(cv_content, jd_text_input)
-
         # Generate HTML output for KPIs and detailed breakdown
         html_output = f"""
         <h2 style='text-align: center;'>💡 Analysis Results Summary 💡</h2>
@@ -306,30 +300,24 @@ def analyze_cv_match(cv_file_obj, cv_text_input, jd_text_input):
         <p><strong>✅ Matched Skills:</strong> {', '.join(analysis_results['matched_skills']) if analysis_results['matched_skills'] else 'None found matching job description.'}</p>
         <p><strong>❌ Missing Skills (from Job Description):</strong> {', '.join(analysis_results['missing_skills']) if analysis_results['missing_skills'] else '🥳 None! Your CV has all specified skills.'}</p>
         <p><strong>💡 Extra Skills in CV (not in Job Description):</strong> {', '.join(analysis_results['extra_skills_in_cv']) if analysis_results['extra_skills_in_cv'] else 'None. (This is often fine, showing broader capability.)'}</p>
-
         <h4>Keyword Relevance (Top TF-IDF Terms)</h4>
         <p><strong>🤝 Top Common Keywords:</strong> {', '.join(analysis_results['common_keywords']) if analysis_results['common_keywords'] else 'No significant common keywords beyond skills.'}</p>
         <p><strong>🔍 Top Keywords in Your CV:**</strong> {', '.join(analysis_results['top_cv_keywords']) if analysis_results['top_cv_keywords'] else 'N/A'}</p>
         <p><strong>🎯 Top Keywords in Job Description:</strong> {', '.join(analysis_results['top_jd_keywords']) if analysis_results['top_jd_keywords'] else 'N/A'}</p>
-
         <h4>Experience & Education Comparison</h4>
         <p><strong>👤 Your CV's Experience:</strong> <code>{analysis_results['cv_years_experience']}</code> years</p>
         <p><strong>💼 Job's Required Experience:</strong> <code>{analysis_results['jd_years_experience']}</code> years</p>
         <p style='color:green;'><strong>Status:</strong> {analysis_results['experience_match_status']}</p>
-
         <p><strong>🎓 Your CV's Education:</strong> <code>{analysis_results['cv_education_level']}</code></p>
         <p><strong>📚 Job's Required Education:</strong> <code>{analysis_results['jd_education_level']}</code></p>
         <p style='color:green;'><strong>Status:</strong> {analysis_results['education_match_status']}</p>
         """
-
         # Generate plots
         overall_plot = create_overall_match_plot(analysis_results['overall_match_score'])
         skill_plot = create_skill_match_plot(analysis_results['matched_skills'], analysis_results['missing_skills'])
         keywords_plot = create_top_keywords_plot(analysis_results['top_cv_keywords'], analysis_results['top_jd_keywords'])
-
         # Return all outputs in the correct order
         return html_output, overall_plot, skill_plot, keywords_plot, "Analysis Complete!"
-
     except Exception as e:
         import traceback
         error_traceback = traceback.format_exc()
@@ -338,9 +326,7 @@ def analyze_cv_match(cv_file_obj, cv_text_input, jd_text_input):
                 f"<details><summary>Click for details</summary><pre>{error_traceback}</pre></details>",
                 None, None, None, "Analysis Failed")
 
-
 # --- Gradio Interface Definition ---
-
 # Use gr.Blocks for more flexibility in layout
 with gr.Blocks(theme=gr.themes.Soft(), title="CV-Job Match Analyzer") as demo:
     gr.Markdown(
@@ -350,28 +336,22 @@ with gr.Blocks(theme=gr.themes.Soft(), title="CV-Job Match Analyzer") as demo:
         Upload a CV (PDF, DOCX, TXT) and paste the job description text to get an instant analysis.
         """
     )
-
     with gr.Row(): # Arrange inputs and outputs in two columns
         with gr.Column(scale=1, min_width=400): # Left column for inputs
             gr.Markdown("## **1. Your CV**") # Section title for CV input
             cv_file_obj = gr.File(label="Upload CV (PDF, DOCX, TXT)", file_types=[".pdf", ".docx", ".txt"])
             cv_text_input = gr.Textbox(label="Or paste CV text here (overrides file upload)", lines=10, placeholder="Paste your CV content here...")
-
             gr.Markdown("## **2. Job Description**") # Section title for JD input
             jd_text_input = gr.Textbox(label="Paste the Job Description text here", lines=10, placeholder="Paste the job description content here...")
-
             with gr.Row(): # Buttons in a row
                 analyze_button = gr.Button("✨ Analyze CV Match ✨", variant="primary", scale=1)
                 clear_button = gr.ClearButton([cv_file_obj, cv_text_input, jd_text_input], scale=1)
-
         with gr.Column(scale=2, min_width=600): # Right column for outputs (plots and HTML report)
             output_html = gr.HTML(label="Analysis Report") # This will show the text-based KPIs and detailed breakdown
             gr.Markdown("## **📊 Visual Insights**") # Title for the plots section
             output_overall_plot = gr.Plot(label="Overall Match Score") # Plots will appear here
             output_skill_plot = gr.Plot(label="Skill Match Breakdown")
             output_keywords_plot = gr.Plot(label="Top Keywords")
-
-
     # Define the action when the button is clicked
     analyze_button.click(
         fn=analyze_cv_match,
@@ -381,11 +361,4 @@ with gr.Blocks(theme=gr.themes.Soft(), title="CV-Job Match Analyzer") as demo:
         # Gradio uses the last return value for the status bar if it's a string, or you can explicitly link it.
     )
 
-    # Optional: Clear button click event if you want it to trigger separately (already linked to ClearButton)
-    # clear_button.click(
-    #     fn=lambda: [None, "", ""], # Returns empty values for inputs
-    #     outputs=[cv_file_obj, cv_text_input, jd_text_input]
-    # )
-
-
 demo.launch()