Update app.py

app.py

@@ -1,3 +1,4 @@
+
 import gradio as gr
 from langchain_community.document_loaders.pdf import PyPDFLoader
 from langchain_community.embeddings import HuggingFaceEmbeddings
@@ -107,6 +108,7 @@ def process_skill_gap(resume_pdf, jd_pdfs, jd_link_url):
         return "", "", "", "", "", None, "", "", "", ""
 
     scraped_skills_text = ""
+    scraped_skills = []
     if jd_link_url:
         scraped_skills = scrape_skills_from_jd_link(jd_link_url)
         scraped_skills_text = ", ".join(scraped_skills)
@@ -132,6 +134,17 @@ def process_skill_gap(resume_pdf, jd_pdfs, jd_link_url):
         ai_report = generate_skill_gap_report(user_skills, job_skills, missing_skills, match_percent)
         full_report += f"\nJD {idx}:\nSkill Match: {match_percent}%\nMissing Skills: {', '.join(missing_skills) if missing_skills else 'None'}\nSimilarity Score: {similarity_percent}%\nAI Report:\n{ai_report}\n-------------------------\n"
 
+    # Include scraped JD link in the analysis
+    if scraped_skills_text and scraped_skills and scraped_skills != ["No skills detected."]:
+        job_skills = scraped_skills
+        common = set(user_skills) & set(job_skills)
+        match_percent = (len(common) / len(job_skills)) * 100 if job_skills else 0
+        missing_skills = list(set(job_skills) - set(user_skills))
+        all_missing_skills.extend(missing_skills)
+
+        ai_report = generate_skill_gap_report(user_skills, job_skills, missing_skills, match_percent)
+        full_report += f"\nReal-Time JD Link:\nSkill Match: {match_percent}%\nMissing Skills: {', '.join(missing_skills) if missing_skills else 'None'}\nAI Report:\n{ai_report}\n-------------------------\n"
+
     resources = generate_learning_resources(list(set(all_missing_skills)))
     certifications = suggest_certifications(all_missing_skills)
 
@@ -152,14 +165,9 @@ def process_skill_gap(resume_pdf, jd_pdfs, jd_link_url):
     return progress_display, "✅ Analysis done across all JDs", ", ".join(set(all_missing_skills)), "Multi-JD Comparison Completed", full_report, pdf_path, top_missing_skills_text, resources, certifications, scraped_skills_text
 
 with gr.Blocks() as demo:
-    gr.HTML("""<style>body{background: linear-gradient(135deg, #0d1b2a, #1b263b, #415a77);background-size: 300% 300%;animation: gradientShift 15s ease infinite;overflow-x: hidden;position: relative}@keyframes gradientShift{0%{background-position:0% 50%}50%{background-position:100% 50%}100%{background-position:0% 50%}.floating-circle{position:fixed;border-radius:50%;background:rgba(0,255,255,0.08);box-shadow:0 0 20px rgba(0,255,255,0.2);animation:floatUp linear infinite;z-index:-1;filter:blur(2px)}@keyframes floatUp{0%{transform:translateY(100vh);opacity:0}10%{opacity:.2}90%{opacity:.2}100%{transform:translateY(-200px);opacity:0}}.floating-circle:nth-child(1){width:80px;height:80px;left:20%;animation-duration:25s}.floating-circle:nth-child(2){width:100px;height:100px;left:50%;animation-duration:30s;animation-delay:5s}.floating-circle:nth-child(3){width:60px;height:60px;left:70%;animation-duration:20s;animation-delay:10s}.floating-circle:nth-child(4){width:90px;height:90px;left:35%;animation-duration:35s;animation-delay:15s}.floating-circle:nth-child(5){width:120px;height:120px;left:80%;animation-duration:40s;animation-delay:20s}h1,h2,h3,p,label{color:#00f7ff!important;text-shadow:0 0 8px rgba(0,255,255,0.3)}</style><div class='floating-circle'></div><div class='floating-circle'></div><div class='floating-circle'></div><div class='floating-circle'></div><div class='floating-circle'></div>""")
-
-    gr.Markdown("# 🧠 TALENTPATCH with Multi-JD Comparison and AI Skill Gap Analysis")
-
     resume_file = gr.File(label="📄 Upload Resume (PDF)", type="binary")
     jd_files = gr.File(label="📄 Upload Multiple Job Descriptions (PDFs)", type="binary", file_types=[".pdf"], file_count="multiple")
     jd_link_input = gr.Textbox(label="🔗 Optional: Paste JD URL for Real-Time Skill Extraction")
-
     match_progress = gr.HTML(label="Skill Match Progress")
     skill_match_text = gr.Textbox(label="Status", interactive=False)
     missing_skills_text = gr.Textbox(label="All Missing Skills", interactive=False)
@@ -170,9 +178,7 @@ with gr.Blocks() as demo:
     learning_resources = gr.Markdown(label="📚 AI Learning Resource Recommendations")
     certification_output = gr.Textbox(label="🎓 Recommended Certifications", interactive=False)
     scraped_skills_output = gr.Textbox(label="🔍 Skills Extracted from JD Link", interactive=False)
-
     submit_btn = gr.Button("🚀 Analyze Skill Gap")
-
     submit_btn.click(
         fn=process_skill_gap,
         inputs=[resume_file, jd_files, jd_link_input],
@@ -189,5 +195,4 @@ with gr.Blocks() as demo:
             scraped_skills_output
         ]
     )
-
 demo.launch()