okay changes

app.py

@@ -256,8 +256,8 @@ def _background_bootstrap():
             import sys
             argv_bak = sys.argv
             try:
-                # Use official splits from nondisjoint/ and disjoint/ folders with default size limit (2000 samples)
-                sys.argv = ["prepare_polyvore.py", "--root", ds_root, "--max_samples", "2000"]
+                                        # Use official splits from nondisjoint/ and disjoint/ folders with default size limit (160 samples)
+                        sys.argv = ["prepare_polyvore.py", "--root", ds_root, "--max_samples", "160"]
                 prepare_main()
             finally:
                 sys.argv = argv_bak
@@ -736,24 +736,24 @@ with gr.Blocks(fill_height=True, title="Dressify - Advanced Outfit Recommendatio
         
         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")
+            gr.Markdown("• **Bootstrap**: Downloads full dataset (53K outfits) + generates splits with **160 samples by default**\n• **Training**: Uses 160 samples (ultra-fast testing!)\n• **Apply Button**: Regenerates splits with your selected size limit")
         
         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)")
+                    global_dataset_size = gr.Dropdown(
+            choices=["160", "2000", "5000", "10000", "25000", "50000", "full"],
+            value="160",
+            label="Global Dataset Size (Affects Prep + Training)"
+        )
+            gr.Markdown("**160**: Ultra-fast testing (~30 sec prep, ~1-2 min training)\n**2000**: 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)
+            size_status = gr.Textbox(label="Dataset Size Status", value="Dataset size: 160 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")
+            gr.Markdown("• **Full dataset downloaded**: 53,306 outfits (required for system)\n• **Splits generated**: **160 samples by default** (ultra-fast testing!)\n• **Training will use**: 160 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."""