new 10,000 fixes

app.py

@@ -669,30 +669,45 @@ with gr.Blocks(fill_height=True, title="Dressify - Advanced Outfit Recommendatio
     gr.Markdown("## 🏆 Dressify – Advanced Outfit Recommendation System\n*Research-grade, self-contained outfit recommendation with comprehensive training controls*")
     gr.Markdown("💡 **Pro Tip**: Start with 2000 samples for quick testing, then increase to 50000+ for production training!")
     
-    # Global dataset size control
-    with gr.Row():
-        gr.Markdown("#### 🎯 **Global Dataset Size Control**")
-        gr.Markdown("**Note**: Initial bootstrap downloads full dataset (required). Use 'Apply' button to limit splits for testing.")
-    
-    with gr.Row():
-        gr.Markdown("#### 📊 **Current Behavior**")
-        gr.Markdown("• **Bootstrap**: Downloads full dataset (53K outfits) + generates splits with **2000 samples by default**\n• **Training**: Uses 2000 samples (ultra-fast testing!)\n• **Apply Button**: Regenerates splits with your selected size limit")
+    with gr.Tab("🎨 Recommend"):
+        inp2 = gr.Files(label="Upload wardrobe images", file_types=["image"], file_count="multiple")
+        with gr.Row():
+            occasion = gr.Dropdown(choices=["casual", "business", "formal", "sport"], value="casual", label="Occasion")
+            weather = gr.Dropdown(choices=["any", "hot", "mild", "cold", "rain"], value="any", label="Weather")
+            num_outfits = gr.Slider(minimum=1, maximum=8, step=1, value=3, label="Number of outfits")
+        out_gallery = gr.Gallery(label="Recommended Outfits", columns=1, height=320)
+        out_json = gr.JSON(label="Outfit Details")
+        btn2 = gr.Button("Generate Outfits", variant="primary")
+        btn2.click(fn=gradio_recommend, inputs=[inp2, occasion, weather, num_outfits], outputs=[out_gallery, out_json])
     
-    with gr.Row():
-        global_dataset_size = gr.Dropdown(
-            choices=["2000", "5000", "10000", "25000", "50000", "full"],
-            value="2000",
-            label="Global Dataset Size (Affects Prep + Training)"
-        )
-        gr.Markdown("**2000**: Ultra-fast testing (~1-2 min prep, ~2-5 min training)\n**5000**: Fast testing (~2-3 min prep, ~5-10 min training)\n**10000**: Good testing (~3-5 min prep, ~10-20 min training)\n**full**: Production (~5-10 min prep, ~1-4 hours training)")
+    with gr.Tab("🔬 Advanced Training"):
+        gr.Markdown("### 🎯 Comprehensive Training Parameter Control\nCustomize every aspect of model training for research and experimentation.")
         
-        # Apply dataset size button
-        apply_size_btn = gr.Button("🔄 Apply Dataset Size & Regenerate Splits", variant="primary")
-        size_status = gr.Textbox(label="Dataset Size Status", value="Dataset size: 2000 samples (click Apply to regenerate splits)", interactive=False)
+        # Global Dataset Size Control
+        with gr.Row():
+            gr.Markdown("#### 🎯 **Global Dataset Size Control**")
+            gr.Markdown("**Note**: Initial bootstrap downloads full dataset (required). Use 'Apply' button to limit splits for testing.")
+        
+        with gr.Row():
+            gr.Markdown("#### 📊 **Current Behavior**")
+            gr.Markdown("• **Bootstrap**: Downloads full dataset (53K outfits) + generates splits with **2000 samples by default**\n• **Training**: Uses 2000 samples (ultra-fast testing!)\n• **Apply Button**: Regenerates splits with your selected size limit")
         
-        # Current dataset info
-        gr.Markdown("#### 📊 **Current Dataset Status**")
-        gr.Markdown("• **Full dataset downloaded**: 53,306 outfits (required for system)\n• **Splits generated**: **2000 samples by default** (fast testing!)\n• **Training will use**: 2000 samples (ultra-fast!)\n• **Scale up**: Use Apply button to increase to larger sizes")
+        with gr.Row():
+            global_dataset_size = gr.Dropdown(
+                choices=["2000", "5000", "10000", "25000", "50000", "full"],
+                value="2000",
+                label="Global Dataset Size (Affects Prep + Training)"
+            )
+            gr.Markdown("**2000**: Ultra-fast testing (~1-2 min prep, ~2-5 min training)\n**5000**: Fast testing (~2-3 min prep, ~5-10 min training)\n**10000**: Good testing (~3-5 min prep, ~10-20 min training)\n**full**: Production (~5-10 min prep, ~1-4 hours training)")
+        
+        with gr.Row():
+            # Apply dataset size button
+            apply_size_btn = gr.Button("🔄 Apply Dataset Size & Regenerate Splits", variant="primary")
+            size_status = gr.Textbox(label="Dataset Size Status", value="Dataset size: 2000 samples (click Apply to regenerate splits)", interactive=False)
+            
+            # Current dataset info
+            gr.Markdown("#### 📊 **Current Dataset Status**")
+            gr.Markdown("• **Full dataset downloaded**: 53,306 outfits (required for system)\n• **Splits generated**: **2000 samples by default** (fast testing!)\n• **Training will use**: 2000 samples (ultra-fast!)\n• **Scale up**: Use Apply button to increase to larger sizes")
         
         def apply_dataset_size(size: str):
             """Apply global dataset size and regenerate splits."""
@@ -739,20 +754,6 @@ with gr.Blocks(fill_height=True, title="Dressify - Advanced Outfit Recommendatio
                 return f"❌ Failed to apply dataset size: {str(e)}"
         
         apply_size_btn.click(fn=apply_dataset_size, inputs=[global_dataset_size], outputs=[size_status])
-    
-    with gr.Tab("🎨 Recommend"):
-        inp2 = gr.Files(label="Upload wardrobe images", file_types=["image"], file_count="multiple")
-        with gr.Row():
-            occasion = gr.Dropdown(choices=["casual", "business", "formal", "sport"], value="casual", label="Occasion")
-            weather = gr.Dropdown(choices=["any", "hot", "mild", "cold", "rain"], value="any", label="Weather")
-            num_outfits = gr.Slider(minimum=1, maximum=8, step=1, value=3, label="Number of outfits")
-        out_gallery = gr.Gallery(label="Recommended Outfits", columns=1, height=320)
-        out_json = gr.JSON(label="Outfit Details")
-        btn2 = gr.Button("Generate Outfits", variant="primary")
-        btn2.click(fn=gradio_recommend, inputs=[inp2, occasion, weather, num_outfits], outputs=[out_gallery, out_json])
-    
-    with gr.Tab("🔬 Advanced Training"):
-        gr.Markdown("### 🎯 Comprehensive Training Parameter Control\nCustomize every aspect of model training for research and experimentation.")
         
         with gr.Row():
             with gr.Column(scale=1):