supported fle

app.py

@@ -6,7 +6,7 @@ from sahi import AutoDetectionModel
 from PIL import Image
 import plotly.graph_objects as go
 import torch
-
+import spaces
 
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
@@ -209,6 +209,7 @@ def upload_image(image):
     """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
@@ -399,7 +400,7 @@ with gr.Blocks() as demo:
     with gr.Row(visible=False) as input_row:
         # Image Upload and Display in two columns
         with gr.Column():
-            gr.Markdown("### Input (Supported Image: bmp,jpg,png,jpeg,gif)")
+            gr.Markdown("###  Input (Supported Image: bmp,jpg,png,jpeg,gif)")
             upload_image_component = gr.Image(type="pil", label="Select Image")
 
         with gr.Column():