🚀 BULLETPROOF: Based on working HF Spaces pattern - no schema bugs

app.py

@@ -25,11 +25,8 @@ def setup_models():
             face_app = FaceAnalysis(name='buffalo_l', providers=['CPUExecutionProvider'])
             face_app.prepare(ctx_id=0, det_thresh=0.5, det_size=(640, 640))
             print("✓ InsightFace models loaded")
-            return "✓ InsightFace models loaded successfully"
         except Exception as e:
             print(f"Failed to load InsightFace: {e}")
-            return f"Demo mode (InsightFace failed: {str(e)[:50]})"
-    return "Demo mode (InsightFace not available)"
 
 def load_database():
     global face_database
@@ -51,8 +48,7 @@ def save_database():
 def get_embedding(image):
     global face_app
     if not face_app or not image:
-        # Demo mode - return random but consistent embedding
-        if image:
+        if image is not None:
             seed = int(np.array(image).mean() * 1000) % 1000
             np.random.seed(seed)
             emb = np.random.rand(512)
@@ -69,7 +65,7 @@ def get_embedding(image):
     except Exception as e:
         return None, f"Error: {str(e)}"
 
-def add_face_to_database(image, name):
+def add_face(image, name):
     if not name or not name.strip():
         return "Please enter a name"
     
@@ -84,7 +80,7 @@ def add_face_to_database(image, name):
     
     return f"✓ Added {name} ({msg}). Database now has {len(face_database)} faces."
 
-def match_face_in_database(image):
+def match_face(image):
     if not face_database:
         return "Database is empty. Please add faces first."
     
@@ -110,13 +106,10 @@ def match_face_in_database(image):
     else:
         return f"❌ No match found. Best score: {best_score*100:.1f}% (threshold: 60%)"
 
-def get_database_status():
-    if not face_database:
-        return "Database is empty"
-    names = list(face_database.keys())[:5]
-    if len(face_database) > 5:
-        names.append(f"... and {len(face_database)-5} more")
-    return f"Database has {len(face_database)} faces: {', '.join(names)}"
+def get_status():
+    status = "✓ InsightFace loaded" if face_app else "Demo mode"
+    db_count = len(face_database)
+    return f"System: {status} | Database: {db_count} faces"
 
 def clear_database():
     global face_database
@@ -126,60 +119,62 @@ def clear_database():
 
 # Initialize
 print("Starting FaceMatch system...")
-status_msg = setup_models()
+setup_models()
 load_database()
 
-# Create interface using legacy Interface (more stable than Blocks)
-with gr.Blocks(title="FaceMatch Pro") as demo:
-    gr.Markdown("# 🎯 FaceMatch Pro")
-    gr.Markdown("### Professional Face Recognition System")
-    
-    # Status
-    gr.Markdown(f"**System Status:** {status_msg}")
-    gr.Markdown(f"**Database Status:** {get_database_status()}")
+css = """
+#col-left {
+    margin: 0 auto;
+    max-width: 450px;
+}
+#col-right {
+    margin: 0 auto;
+    max-width: 450px;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    gr.HTML("""
+    <div style="text-align: center; margin-bottom: 20px;">
+        <h1>🎯 FaceMatch Pro</h1>
+        <p>Professional Face Recognition System</p>
+    </div>
+    """)
     
-    # Add Face Interface
-    gr.Markdown("## Add Face to Database")
     with gr.Row():
-        add_image_input = gr.Image(type="pil", label="Upload Photo")
-        add_name_input = gr.Textbox(label="Person Name", placeholder="Enter name...")
-    
-    add_button = gr.Button("Add to Database", variant="primary")
-    add_output = gr.Textbox(label="Result", lines=2)
-    
-    add_button.click(
-        fn=add_face_to_database,
-        inputs=[add_image_input, add_name_input],
-        outputs=add_output
-    )
+        with gr.Column(elem_id="col-left"):
+            gr.HTML("""
+            <div style="text-align: center; font-size: 18px; margin-bottom: 10px;">
+                <b>📥 Add Face to Database</b>
+            </div>
+            """)
+            add_image = gr.Image(label="Upload Photo", sources='upload', type="pil")
+            add_name = gr.Textbox(label="Person Name", placeholder="Enter name...")
+            add_button = gr.Button("Add to Database", variant="primary")
+            add_result = gr.Textbox(label="Result")
+            
+        with gr.Column(elem_id="col-right"):
+            gr.HTML("""
+            <div style="text-align: center; font-size: 18px; margin-bottom: 10px;">
+                <b>🔍 Find Face Match</b>
+            </div>
+            """)
+            match_image = gr.Image(label="Upload Photo to Match", sources='upload', type="pil")
+            match_button = gr.Button("Find Match", variant="primary")
+            match_result = gr.Textbox(label="Match Result")
+    
+    gr.HTML("<hr>")
     
-    # Match Face Interface
-    gr.Markdown("## Find Face Match")
-    match_image_input = gr.Image(type="pil", label="Upload Photo to Match")
-    match_button = gr.Button("Find Match", variant="primary")
-    match_output = gr.Textbox(label="Match Result", lines=3)
-    
-    match_button.click(
-        fn=match_face_in_database,
-        inputs=match_image_input,
-        outputs=match_output
-    )
-    
-    # Database Management
-    gr.Markdown("## Database Management")
-    status_button = gr.Button("Check Database Status")
-    clear_button = gr.Button("Clear Database", variant="stop")
-    db_output = gr.Textbox(label="Database Status", lines=2)
-    
-    status_button.click(
-        fn=get_database_status,
-        outputs=db_output
-    )
-    
-    clear_button.click(
-        fn=clear_database,
-        outputs=db_output
-    )
+    with gr.Row():
+        status_button = gr.Button("Check Status")
+        clear_button = gr.Button("Clear Database", variant="stop")
+        status_output = gr.Textbox(label="System Status")
+    
+    # Event handlers
+    add_button.click(fn=add_face, inputs=[add_image, add_name], outputs=add_result)
+    match_button.click(fn=match_face, inputs=match_image, outputs=match_result)
+    status_button.click(fn=get_status, outputs=status_output)
+    clear_button.click(fn=clear_database, outputs=status_output)
 
 if __name__ == "__main__":
     demo.launch()