Update app.py

app.py

@@ -5,11 +5,13 @@ ZeroGPU-accelerated Career Intelligence & Long-Term Memory OS.
 import os
 import spaces
 import gradio as gr
-from app.llm import ask_llm
-from app.routers.ats import run_ats_check
-from app.routers.matcher import run_resume_match, run_suggest_edits
-from app.routers.insights import run_company_analysis
-from app.services.email_outreach import extract_job_posting_fields, generate_outreach_email
+
+from app.llm import call_llm
+from app.services.ats_checker import calculate_ats_audit
+from app.services.job_matcher import analyze_resume_vs_job
+from app.services.resume_editor import generate_resume_edits
+from app.services.company_insights import get_company_insights
+from app.services.email_outreach import parse_informal_jd_regex, draft_application_email
 
 # --- ZeroGPU Handlers ---
 @spaces.GPU
@@ -17,9 +19,17 @@ def chat_response(message, history):
     if not message.strip():
         return ""
     try:
-        response = ask_llm(
-            messages=[{"role": "user", "content": message}],
-            system_prompt="You are malloc(), an AI Career Intelligence Assistant with long-term memory. Provide sharp, concise, actionable advice."
+        messages = []
+        for user_msg, bot_msg in (history or []):
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if bot_msg:
+                messages.append({"role": "assistant", "content": bot_msg})
+        messages.append({"role": "user", "content": message})
+        
+        response = call_llm(
+            messages,
+            system="You are malloc(), an AI Career Intelligence Assistant with long-term memory. Provide sharp, concise, actionable advice."
         )
         return response
     except Exception as e:
@@ -30,16 +40,18 @@ def match_resume(resume_text, jd_text):
     if not resume_text or not jd_text:
         return "Please provide both Resume and Job Description text.", ""
     try:
-        match_res = run_resume_match(resume_text, jd_text)
-        edits_res = run_suggest_edits(resume_text, jd_text)
+        match_res = analyze_resume_vs_job(resume_text=resume_text, job_description=jd_text)
+        edits_res = generate_resume_edits(resume_text=resume_text, job_description=jd_text)
         
-        summary = f"### Overall Match Score: {match_res.get('score', 0)}%\n\n"
-        summary += f"**Matched Skills**: {', '.join(match_res.get('matched_skills', []))}\n\n"
-        summary += f"**Missing / Gaps**: {', '.join(match_res.get('missing_skills', []))}\n\n"
+        summary = f"### Overall Match Score: {match_res.match_score}%\n\n"
+        summary += f"**Verdict**: {match_res.verdict}\n\n"
+        summary += f"**Matched Skills**: {', '.join(match_res.matched_skills)}\n\n"
+        summary += f"**Missing / Gaps**: {', '.join(match_res.missing_skills)}\n\n"
+        summary += f"**Summary**: {match_res.summary}"
         
         edits = "### Actionable Suggested Edits:\n"
-        for item in edits_res.get("suggestions", []):
-            edits += f"- **Original**: {item.get('original', '')}\n  - **Suggested Edit**: {item.get('suggestion', '')}\n  - **Reason**: {item.get('reason', '')}\n\n"
+        for item in edits_res.suggestions:
+            edits += f"- **Original**: {item.original_text}\n  - **Suggested Edit**: {item.suggested_rewrite}\n  - **Rationale**: {item.rationale}\n\n"
             
         return summary, edits
     except Exception as e:
@@ -50,12 +62,16 @@ def check_ats(resume_text):
     if not resume_text:
         return "Please paste resume text to audit."
     try:
-        res = run_ats_check(resume_text)
-        output = f"### ATS Parseability Score: {res.get('score', 0)}/100\n\n"
-        output += f"- **Format Health**: {res.get('format_score', 0)}/100\n"
-        output += f"- **Contact Info Present**: {res.get('has_contact', False)}\n"
-        output += f"- **Sections Detected**: {', '.join(res.get('sections_found', []))}\n\n"
-        output += f"**Identified Entities (BERT NER)**:\n{', '.join(res.get('entities', []))}"
+        res = calculate_ats_audit(resume_text=resume_text, file_name="resume.txt")
+        output = f"### ATS Parseability Score: {res.overall_score}/100\n\n"
+        output += f"- **Formatting & Layout**: {res.breakdown.formatting_and_layout}/100\n"
+        output += f"- **Section Completeness**: {res.breakdown.section_completeness}/100\n"
+        output += f"- **Entity Richness**: {res.breakdown.entity_richness}/100\n"
+        output += f"- **Contact Info**: {res.breakdown.contact_info}/100\n\n"
+        output += f"**Audit Recommendations**:\n"
+        for item in res.audit_items:
+            icon = "✅" if item.status == "pass" else "⚠️" if item.status == "warning" else "❌"
+            output += f"- {icon} **{item.category.upper()}**: {item.message}\n"
         return output
     except Exception as e:
         return f"Error: {str(e)}"
@@ -65,12 +81,15 @@ def company_insights(company_name, website):
     if not company_name:
         return "Please enter a company name."
     try:
-        res = run_company_analysis(company_name, website)
-        output = f"### Company Insights for {company_name.upper()}\n\n"
-        output += f"- **Classification**: {res.get('classification', 'MNC')}\n"
-        output += f"- **Confidence**: {res.get('confidence', 0)}%\n"
-        output += f"- **Culture Sentiment**: {res.get('sentiment', 'Neutral')}\n\n"
-        output += f"**Analysis Summary**:\n{res.get('summary', 'Analysis completed.')}"
+        res = get_company_insights(company_name=company_name, company_url=website)
+        output = f"### Company Insights for {res.company_name.upper()}\n\n"
+        output += f"- **Classification**: {res.classification.predicted_category} ({res.classification.confidence_score}% confidence)\n"
+        output += f"- **Industry**: {res.industry.primary_industry}\n"
+        output += f"- **Culture Sentiment**: {res.culture.sentiment_label} (Score: {res.culture.positive_sentiment_score}% Positive)\n\n"
+        output += f"**Culture Summary**:\n{res.culture.summary}\n\n"
+        output += f"**Interview Focus Areas**:\n"
+        for topic in res.interview_prep.focus_areas:
+            output += f"- **{topic.topic}**: {topic.description}\n"
         return output
     except Exception as e:
         return f"Error: {str(e)}"
@@ -80,17 +99,19 @@ def email_outreach(jd_text, applicant_name, applicant_skills):
     if not jd_text:
         return "Please paste the job posting text.", ""
     try:
-        fields = extract_job_posting_fields(jd_text)
-        draft = generate_outreach_email(
-            role=fields.get("role", "Candidate"),
-            company=fields.get("company", "Hiring Team"),
-            email=fields.get("email", ""),
-            applicant_name=applicant_name or "Applicant",
-            applicant_skills=applicant_skills or "Relevant Experience",
-            jd_text=jd_text
+        parsed_jd = parse_informal_jd_regex(jd_text)
+        selected_role = (parsed_jd.get("open_positions") or ["Candidate"])[0]
+        draft_res = draft_application_email(
+            resume_text=applicant_skills or "Software Engineering background",
+            selected_role=selected_role,
+            parsed_jd=parsed_jd,
+            applicant_name=applicant_name or "Applicant"
         )
-        summary = f"**Extracted Role**: {fields.get('role', 'N/A')}\n**Company**: {fields.get('company', 'N/A')}\n**Recipient Email**: {fields.get('email', 'N/A')}"
-        return summary, draft
+        summary = f"**Company**: {parsed_jd.get('company_name') or 'Hiring Team'}\n"
+        summary += f"**Role**: {selected_role}\n"
+        summary += f"**Recipient HR Email**: {parsed_jd.get('hr_email') or 'Not specified in text'}\n"
+        summary += f"**Subject Line**: {draft_res.get('subject', '')}"
+        return summary, draft_res.get("body", "")
     except Exception as e:
         return f"Error: {str(e)}", ""
 
@@ -137,12 +158,12 @@ with gr.Blocks(title="MALLOC() [CORE_OS]", theme=theme) as demo:
                 raw_jd = gr.Textbox(label="Informal / WhatsApp / LinkedIn Job Post", lines=6, placeholder="🏢 Company: ...\n💼 Role: ...\n📧 Apply: ...")
                 with gr.Column():
                     app_name = gr.Textbox(label="Your Name", placeholder="Your Full Name")
-                    app_skills = gr.Textbox(label="Top Key Skills to Highlight", placeholder="e.g. Python, FastAPI, React")
+                    app_skills = gr.Textbox(label="Top Key Skills / Experience Snippet", placeholder="e.g. Python, FastAPI, React, 2 years experience")
             email_btn = gr.Button("✉️ Parse & Generate Personalized Outreach", variant="primary")
             with gr.Row():
                 email_fields = gr.Markdown()
                 email_draft = gr.Textbox(label="Generated Email Draft", lines=8)
             email_btn.click(fn=email_outreach, inputs=[raw_jd, app_name, app_skills], outputs=[email_fields, email_draft])
 
-# Launch Space
-demo.launch(server_name="0.0.0.0", server_port=7860)
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)