login

app.py

@@ -6,7 +6,7 @@
 # from PIL import Image
 # import plotly.graph_objects as go
 # import torch
-
+#import spaces
 
 # device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
@@ -209,7 +209,7 @@
 #     """Process the uploaded image (if needed) and display it.""" 
 #     return image
 
-
+#@spaces.GPU
 # def apply_detection(image):
 #     """Run object detection on the uploaded image and return the annotated image.""" 
 #     # Convert image from PIL to NumPy array
@@ -894,10 +894,6 @@ with gr.Blocks(css = css,js=js_func) as demo:
         """)
 
 
-
-
-
-
     with gr.Row(visible=False) as input_row:
         # Image Upload and Display in two columns
         with gr.Column():
@@ -993,7 +989,7 @@ with gr.Blocks(css = css,js=js_func) as demo:
 
 # Launch the Gradio interface
 demo.queue()
-demo.launch(share=True)
+demo.launch(share=True,show_api=False)