Update app.py

app.py

@@ -2,7 +2,6 @@ import torch
 import gradio as gr
 from diffusers import StableVideoDiffusionPipeline
 from diffusers.utils import load_image, export_to_video
-import spaces
 
 # Check if GPU is available
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -13,7 +12,6 @@ pipeline = StableVideoDiffusionPipeline.from_pretrained(
 )
 pipeline.to(device)
 
-@spaces.GPU(duration=120)
 def generate_video(image_path, seed):
     # Load and preprocess the image
     image = load_image(image_path)
@@ -41,10 +39,10 @@ iface = gr.Interface(
     outputs=gr.Video(label="Generated Video"),
     title="Stable Video Diffusion",
     description="Generate a video from an uploaded image using Stable Video Diffusion.",
-    examples = [
-        ["image.jpeg", "videos/generated.mp4"],
+    examples=[
+        ["image.jpeg", 42],
     ],
-    gr.Examples(examples, [image_input, video_input])
 )
+
 # Launch the interface
-iface.launch()
+iface.launch()