Update app.py ZeroGPU and VLM

app.py

@@ -97,7 +97,7 @@ def process_kitchen_operations(input_image, budget, days):
     return df_rows, blueprint_md
 
 # =====================================================================
-# 🎨 GRADIO INTERFACE DESIGN
+# 🎨 GRADIO INTERFACE DESIGN (Indentation Corrected)
 # =====================================================================
 with gr.Blocks() as demo:
     gr.Markdown("# 🛰️ Parallel Plate: Kitchen Operations & Visual Logistics Engine")
@@ -107,11 +107,14 @@ with gr.Blocks() as demo:
         with gr.Column(scale=1):
             gr.Markdown("### 📸 1. Physical Edge Ingestion")
             image_input = gr.Image(label="Upload Fridge Optical Survey Scan", type="pil")
-                        with gr.Row():
+            
+            with gr.Row():
                 budget_slider = gr.Slider(minimum=5, maximum=100, value=25, step=5, label="Runway Budget ($ USD)")
                 days_slider = gr.Slider(minimum=1, maximum=7, value=3, step=1, label="Target Horizon (Days)")
-                            scan_btn = gr.Button("🚀 Initialize Asset Optimization Scan", variant="primary")
-                    with gr.Column(scale=1):
+            
+            scan_btn = gr.Button("🚀 Initialize Asset Optimization Scan", variant="primary")
+                    
+        with gr.Column(scale=1):
             gr.Markdown("### 📊 2. Active Refrigerator Digital Twin")
             inventory_df = gr.Dataframe(
                 headers=["Ingredient Asset", "Current Volume / Qty", "Telemetry Status", "Book Value (Est)"],
@@ -122,7 +125,8 @@ with gr.Blocks() as demo:
                 column_widths=["30%", "25%", "25%", "20%"],
                 value=load_persisted_state()
             )
-                        gr.Markdown("### 🔀 3. Resource Routing & Recipe Output")
+                        
+            gr.Markdown("### 🔀 3. Resource Routing & Recipe Output")
             output_text = gr.Markdown("*Awaiting asset telemetry mapping to generate optimal cooking execution paths...*")
 
     scan_btn.click(