example

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-import spaces
+# import spaces
 import torch
 import torch.nn.functional as F
 from torch.utils.data import DataLoader
@@ -68,7 +68,7 @@ def preprocess_uploaded_image(uploaded_image, image_size):
     return uploaded_image
 
 # ヒートマップの生成関数
-@spaces.GPU
+# @spaces.GPU
 def get_heatmaps(source_num, x_coords, y_coords, uploaded_image):
     if type(uploaded_image) == str:
         uploaded_image = Image.open(uploaded_image)
@@ -240,10 +240,10 @@ with gr.Blocks() as demo:
             gr.Markdown("# Examples")
             gr.Examples(
                 examples=[
-                ["0", "50", "50", "resources/examples/2488.jpg"],
-                ["0", "50", "50", "resources/examples/2899.jpg"]
+                ["resources/examples/2488.jpg"],
+                ["resources/examples/2899.jpg"]
             ],
-                inputs=[source_num, x_coords, y_coords, input_image],
+                inputs=[input_image],
             )
         with gr.Column():
             output_plot = gr.Plot()