inital deployment1

app.py

@@ -41,16 +41,22 @@ def video_stream(prompt):
         yield frame  # Return processed frame
     cap.release()
 
+
 # Create Gradio App
 with gr.Blocks() as demo:
-    gr.Markdown("## 🎨 Real-Time AI-Enhanced Webcam using Latent Consistency Model")
+    gr.Markdown("## 🎨 Real-Time AI-Enhanced Webcam using Latent Consistency Model (LCM)")
     
     with gr.Row():
-        webcam_feed = gr.Image(streaming=True, label="Live Webcam")
+        webcam_feed = gr.Camera(streaming=True, label="Live Webcam")
         processed_image = gr.Image(label="AI-Enhanced Webcam Feed")
-        canvas = gr.Image(interactive=True, label="Canvas - Edit Processed Image")
     
-    prompt_input = gr.Textbox(label="Real-Time Latent Consistency Model Prompt", value="A futuristic landscape")
-    webcam_feed.change(fn=video_stream, inputs=[prompt_input], outputs=[processed_image, canvas])
+    with gr.Row():
+        canvas_output = gr.Image(interactive=True, label="Canvas - Processed Image Output")
+    
+    prompt_input = gr.Textbox(label="Real-Time LCM Prompt", value="A futuristic landscape")
+    start_button = gr.Button("Start Real-Time AI Enhancement")
+    
+    start_button.click(fn=video_stream, inputs=[prompt_input], outputs=[processed_image, canvas_output])
 
 demo.launch(share=True)
+