| """ |
| MATCH.AI — AI Resume Screener & Feedback System |
| Hugging Face Gradio Space Entry Point |
| """ |
|
|
| import os |
| import gradio as gr |
| try: |
| import spaces |
| except ImportError: |
| class spaces: |
| @staticmethod |
| def GPU(fn): |
| return fn |
|
|
| from resume_scanner.assessor import ResumeAssessor |
| from resume_scanner.extractor import extract_text_from_file, prepare_scanner_inputs |
|
|
| @spaces.GPU |
| def scan_resume_gradio(resume_file, jd_file, jd_text) -> tuple: |
| if not resume_file: |
| return ( |
| "⚠️ Error: Please upload a candidate resume file (.pdf, .docx, or .txt).", |
| 0, |
| "No evaluation rationale.", |
| "", |
| "", |
| "", |
| ) |
|
|
| try: |
| resume_path = resume_file.name |
| jd_path = jd_file.name if jd_file else resume_path |
|
|
| if jd_file: |
| resume_extracted, jd_extracted = prepare_scanner_inputs(resume_path, jd_path) |
| elif jd_text and jd_text.strip(): |
| resume_extracted = extract_text_from_file(resume_path, label="Resume") |
| jd_extracted = jd_text.strip() |
| else: |
| return ( |
| "⚠️ Error: Please provide either a Job Description file or paste Job Description text.", |
| 0, |
| "", |
| "", |
| "", |
| "", |
| ) |
|
|
| assessor = ResumeAssessor() |
| result = assessor.assess(resume_extracted, jd_extracted) |
|
|
| score = result.match_score |
| rationale = result.score_rationale |
| matched = "\n".join([f"✅ {item}" for item in result.matched_requirements]) or "None" |
| missing = "\n".join([f"⚠️ {item}" for item in result.missing_requirements]) or "None" |
| suggestions = "\n".join([f"💡 {item}" for item in result.suggestions]) or "None" |
|
|
| status_msg = f"🎉 Scan Complete! Match Score: {score}/100" |
| return status_msg, score, rationale, matched, missing, suggestions |
| except Exception as exc: |
| return f"❌ Error during assessment: {str(exc)}", 0, str(exc), "", "", "" |
|
|
|
|
| def run_demo_gradio() -> tuple: |
| try: |
| sample_resume = "data/sample_resume.txt" |
| sample_jd = "data/sample_jd.txt" |
| resume_extracted, jd_extracted = prepare_scanner_inputs(sample_resume, sample_jd) |
| assessor = ResumeAssessor() |
| result = assessor.assess(resume_extracted, jd_extracted) |
|
|
| score = result.match_score |
| rationale = result.score_rationale |
| matched = "\n".join([f"✅ {item}" for item in result.matched_requirements]) or "None" |
| missing = "\n".join([f"⚠️ {item}" for item in result.missing_requirements]) or "None" |
| suggestions = "\n".join([f"💡 {item}" for item in result.suggestions]) or "None" |
|
|
| return ( |
| f"⚡ 1-Click Demo Assessment Complete! Score: {score}/100", |
| score, |
| rationale, |
| matched, |
| missing, |
| suggestions, |
| ) |
| except Exception as exc: |
| return f"❌ Demo error: {str(exc)}", 0, str(exc), "", "", "" |
|
|
|
|
| CUSTOM_CSS = """ |
| .gradio-container { |
| background: radial-gradient(circle at 10% 20%, rgb(11, 15, 25) 0%, rgb(17, 24, 39) 90%) !important; |
| color: #f3f4f6 !important; |
| font-family: 'Inter', system-ui, -apple-system, sans-serif !important; |
| } |
| .hero-banner { |
| background: linear-gradient(135deg, rgba(6, 182, 212, 0.15) 0%, rgba(139, 92, 246, 0.15) 100%); |
| border: 1px solid rgba(6, 182, 212, 0.3); |
| border-radius: 16px; |
| padding: 24px; |
| margin-bottom: 20px; |
| box-shadow: 0 8px 32px 0 rgba(0, 0, 0, 0.37); |
| backdrop-filter: blur(12px); |
| } |
| .hero-title { |
| background: linear-gradient(135deg, #22d3ee 0%, #c084fc 100%); |
| -webkit-background-clip: text; |
| -webkit-text-fill-color: transparent; |
| font-size: 2.2rem; |
| font-weight: 800; |
| margin-bottom: 8px; |
| } |
| button.primary { |
| background: linear-gradient(135deg, #06b6d4 0%, #8b5cf6 100%) !important; |
| border: none !important; |
| color: white !important; |
| font-weight: 700 !important; |
| box-shadow: 0 0 15px rgba(6, 182, 212, 0.4) !important; |
| transition: all 0.3s ease !important; |
| } |
| button.primary:hover { |
| transform: translateY(-2px) !important; |
| box-shadow: 0 0 25px rgba(139, 92, 246, 0.7) !important; |
| } |
| """ |
|
|
| with gr.Blocks( |
| title="MATCH.AI — Executive AI Resume Screener Studio", |
| theme=gr.themes.Base( |
| primary_hue="cyan", |
| secondary_hue="purple", |
| neutral_hue="slate", |
| font=[gr.themes.GoogleFont("Inter"), "ui-sans-serif", "system-ui"], |
| ), |
| css=CUSTOM_CSS, |
| ) as demo: |
| gr.HTML(''' |
| <div class="hero-banner"> |
| <div class="hero-title">🚀 MATCH.AI — Executive AI Resume Screener Studio</div> |
| <p style="color: #cbd5e1; font-size: 1.05rem; margin: 0;"> |
| Enterprise deterministic AI screening powered by <b>Google Gemini Flash</b> & <b>Pydantic AI</b>. |
| Equipped with Hallucination Grounding Verification & Zero-Bias Structured Analysis. |
| </p> |
| </div> |
| ''') |
|
|
| with gr.Row(): |
| with gr.Column(scale=5): |
| gr.Markdown("### 📄 Candidate Documents") |
| resume_input = gr.File( |
| label="Upload Candidate Resume (.pdf, .docx, .doc, .txt)", |
| file_types=[".pdf", ".docx", ".doc", ".txt"], |
| ) |
| jd_input = gr.File( |
| label="Upload Job Description (.pdf, .docx, .doc, .txt) [Optional if pasting text below]", |
| file_types=[".pdf", ".docx", ".doc", ".txt"], |
| ) |
| jd_text_input = gr.Textbox( |
| label="Or Paste Job Description Text", |
| lines=5, |
| placeholder="Paste job requirements here...", |
| ) |
|
|
| with gr.Row(): |
| scan_btn = gr.Button("⚡ Run AI Scan", variant="primary") |
| demo_btn = gr.Button("🚀 1-Click Sample Demo", variant="secondary") |
|
|
| with gr.Column(scale=6): |
| gr.Markdown("### 📊 AI Executive Assessment Results") |
| status_output = gr.Textbox(label="Status", interactive=False) |
| score_output = gr.Number(label="Match Score (0 - 100)", interactive=False) |
| rationale_output = gr.Textbox( |
| label="Executive Evaluation Rationale", lines=4, interactive=False |
| ) |
|
|
| with gr.Row(): |
| matched_output = gr.Textbox( |
| label="✅ Matched Qualifications", lines=5, interactive=False |
| ) |
| missing_output = gr.Textbox( |
| label="⚠️ Identified Skill Gaps", lines=5, interactive=False |
| ) |
|
|
| suggestions_output = gr.Textbox( |
| label="💡 Actionable Presentation Suggestions", lines=4, interactive=False |
| ) |
|
|
| scan_btn.click( |
| fn=scan_resume_gradio, |
| inputs=[resume_input, jd_input, jd_text_input], |
| outputs=[ |
| status_output, |
| score_output, |
| rationale_output, |
| matched_output, |
| missing_output, |
| suggestions_output, |
| ], |
| show_api=False, |
| ) |
|
|
| demo_btn.click( |
| fn=run_demo_gradio, |
| inputs=[], |
| outputs=[ |
| status_output, |
| score_output, |
| rationale_output, |
| matched_output, |
| missing_output, |
| suggestions_output, |
| ], |
| show_api=False, |
| ) |
|
|
| if __name__ == "__main__": |
| demo.launch(server_name="0.0.0.0", server_port=7860, show_api=False) |
|
|
