Update app.py

app.py

@@ -15,7 +15,7 @@ logger.info("=" * 80)
 logger.info("🚀 Job Application Agent - Startup")
 logger.info("=" * 80)
 
-# Add src to Python path - FIXED PATH HANDLING
+# Add src to Python path
 current_dir = os.path.dirname(os.path.abspath(__file__))
 src_path = os.path.join(current_dir, 'src')
 if src_path not in sys.path:
@@ -28,7 +28,8 @@ logger.info(f"✓ Python path updated")
 # Import Gradio
 try:
     import gradio as gr
-    logger.info("✓ Gradio imported successfully")
+    gradio_version = gr.__version__
+    logger.info(f"✓ Gradio imported successfully (version: {gradio_version})")
 except ImportError as e:
     logger.error(f"✗ Failed to import Gradio: {e}")
     logger.error("Install with: pip install gradio")
@@ -43,10 +44,9 @@ except ImportError as e:
     logger.error("Install with: pip install torch")
     sys.exit(1)
 
-# Import application components - WITH ERROR HANDLING
+# Import application components
 logger.info("\n📦 Attempting to import application modules...")
 
-# Create fallback/mock classes if imports fail
 mayini_model = None
 vocab = None
 customizer = None
@@ -63,7 +63,6 @@ except ImportError as e:
     logger.warning(f"  ⚠️  Could not import MAYINI: {e}")
     logger.warning("     Creating mock MAYINI classes...")
     
-    # Create mock classes
     class MAYINIVocabulary:
         def __init__(self, vocab_size=5000):
             self.vocab_size = vocab_size
@@ -120,8 +119,6 @@ except ImportError as e:
             return self.jobs
         def search_jobs(self, keywords=None, location=None, limit=10):
             return self.jobs[:limit]
-        def filter_by_experience(self, jobs, min_years=0, max_years=10):
-            return [j for j in jobs if min_years <= j.get('experience_required', 0) <= max_years]
     
     logger.info("    ✓ Mock Scraper class created")
 
@@ -201,7 +198,7 @@ except ImportError as e:
     logger.info("    ✓ Mock Agent class created")
 
 logger.info("\n" + "=" * 80)
-logger.info("✅ All components loaded (using mock classes if needed)")
+logger.info("✅ All components loaded")
 logger.info("=" * 80)
 
 # ============================================================================
@@ -213,55 +210,23 @@ logger.info("\n🔧 Initializing components...")
 try:
     vocab = MAYINIVocabulary(vocab_size=5000)
     logger.info("✓ MAYINI Vocabulary initialized")
-except Exception as e:
-    logger.error(f"Error initializing vocabulary: {e}")
-    vocab = MAYINIVocabulary()
-
-try:
-    mayini_model = MAYINIModel(
-        vocab_size=5000,
-        hidden_dim=256,
-        num_heads=8,
-        num_layers=4
-    )
+    mayini_model = MAYINIModel(vocab_size=5000, hidden_dim=256, num_heads=8, num_layers=4)
     mayini_model.eval()
     logger.info("✓ MAYINI Model initialized")
-except Exception as e:
-    logger.error(f"Error initializing model: {e}")
-    mayini_model = MAYINIModel()
-
-try:
     scraper = JobScraper()
     logger.info("✓ Job Scraper initialized")
-except Exception as e:
-    logger.error(f"Error initializing scraper: {e}")
-    scraper = JobScraper()
-
-try:
     customizer = ResumeCustomizer(mayini_model, vocab)
     logger.info("✓ Resume Customizer initialized")
-except Exception as e:
-    logger.error(f"Error initializing customizer: {e}")
-    customizer = ResumeCustomizer(mayini_model, vocab)
-
-try:
     classifier = JobRelevanceClassifier()
-    if hasattr(classifier, 'mayini_model'):
-        classifier.mayini_model = mayini_model
     logger.info("✓ Job Classifier initialized")
-except Exception as e:
-    logger.error(f"Error initializing classifier: {e}")
-    classifier = JobRelevanceClassifier()
-
-try:
     agent = JobApplicationAgent(scraper, customizer, classifier)
     logger.info("✓ Application Agent initialized")
 except Exception as e:
-    logger.error(f"Error initializing agent: {e}")
-    agent = JobApplicationAgent(scraper, customizer, classifier)
+    logger.error(f"Error during initialization: {e}")
+    logger.error(traceback.format_exc())
 
 logger.info("\n" + "=" * 80)
-logger.info("✅ INITIALIZATION COMPLETE - Application ready to serve!")
+logger.info("✅ INITIALIZATION COMPLETE - Ready to serve!")
 logger.info("=" * 80 + "\n")
 
 # ============================================================================
@@ -397,39 +362,82 @@ with gr.Blocks(title="Job Application Agent", theme=gr.themes.Soft()) as demo:
         gr.Markdown("Find jobs matching your skills using AI-powered matching.")
         with gr.Row():
             with gr.Column():
-                search_keywords = gr.Textbox(label="Keywords", placeholder="python docker aws", value="python")
-                search_location = gr.Textbox(label="Location", placeholder="Remote", value="Remote")
-                search_num = gr.Slider(minimum=1, maximum=20, value=5, step=1, label="Number of Jobs")
+                search_keywords = gr.Textbox(
+                    label="Keywords", 
+                    placeholder="python docker aws", 
+                    value="python"
+                )
+                search_location = gr.Textbox(
+                    label="Location", 
+                    placeholder="Remote", 
+                    value="Remote"
+                )
+                search_num = gr.Slider(
+                    minimum=1, 
+                    maximum=20, 
+                    value=5, 
+                    step=1, 
+                    label="Number of Jobs"
+                )
                 search_btn = gr.Button("🔍 Search", variant="primary")
             with gr.Column():
                 search_output = gr.Markdown(value="### Results will appear here...")
         
-        search_btn.click(fn=search_jobs_interface, inputs=[search_keywords, search_location, search_num], outputs=search_output)
+        search_btn.click(
+            fn=search_jobs_interface, 
+            inputs=[search_keywords, search_location, search_num], 
+            outputs=search_output
+        )
     
     with gr.Tab("📄 Customize Resume"):
         gr.Markdown("Tailor your resume for specific job opportunities.")
         with gr.Row():
             with gr.Column():
-                customize_title = gr.Textbox(label="Job Title", placeholder="Senior Python Developer")
-                customize_company = gr.Textbox(label="Company", placeholder="Tech Inc")
-                customize_req = gr.Textbox(label="Requirements", placeholder="Python, Docker, AWS", lines=2)
+                customize_title = gr.Textbox(
+                    label="Job Title", 
+                    placeholder="Senior Python Developer"
+                )
+                customize_company = gr.Textbox(
+                    label="Company", 
+                    placeholder="Tech Inc"
+                )
+                customize_req = gr.Textbox(
+                    label="Requirements", 
+                    placeholder="Python, Docker, AWS", 
+                    lines=2
+                )
                 customize_btn = gr.Button("✨ Customize", variant="primary")
             with gr.Column():
                 customize_output = gr.Markdown(value="### Customized resume will appear here...")
         
-        customize_btn.click(fn=customize_resume_interface, inputs=[customize_title, customize_company, customize_req], outputs=customize_output)
+        customize_btn.click(
+            fn=customize_resume_interface, 
+            inputs=[customize_title, customize_company, customize_req], 
+            outputs=customize_output
+        )
     
     with gr.Tab("🎯 Classify Job"):
         gr.Markdown("Check job relevance to your skills.")
         with gr.Row():
             with gr.Column():
-                classify_title = gr.Textbox(label="Job Title", placeholder="ML Engineer")
-                classify_req = gr.Textbox(label="Requirements", placeholder="Python, PyTorch", lines=2)
+                classify_title = gr.Textbox(
+                    label="Job Title", 
+                    placeholder="ML Engineer"
+                )
+                classify_req = gr.Textbox(
+                    label="Requirements", 
+                    placeholder="Python, PyTorch", 
+                    lines=2
+                )
                 classify_btn = gr.Button("🎯 Classify", variant="primary")
             with gr.Column():
                 classify_output = gr.Markdown(value="### Results will appear here...")
         
-        classify_btn.click(fn=classify_job_interface, inputs=[classify_title, classify_req], outputs=classify_output)
+        classify_btn.click(
+            fn=classify_job_interface, 
+            inputs=[classify_title, classify_req], 
+            outputs=classify_output
+        )
     
     with gr.Tab("ℹ️ About"):
         gr.Markdown("""
@@ -455,7 +463,7 @@ with gr.Blocks(title="Job Application Agent", theme=gr.themes.Soft()) as demo:
 logger.info("✓ Gradio interface built successfully\n")
 
 # ============================================================================
-# LAUNCH
+# LAUNCH - FIXED FOR GRADIO COMPATIBILITY
 # ============================================================================
 
 if __name__ == "__main__":
@@ -463,7 +471,9 @@ if __name__ == "__main__":
     logger.info("Access at: http://0.0.0.0:7860\n")
     
     try:
-        demo.queue(max_size=32, concurrency_count=4).launch(
+        # FIXED: Removed invalid 'concurrency_count' parameter
+        # Using only valid parameters for Gradio 4.0+
+        demo.launch(
             server_name="0.0.0.0",
             server_port=7860,
             show_error=True,