Update app.py

app.py

@@ -1,4 +1,6 @@
 import gradio as gr
+from PIL import Image
+import numpy as np
 
 from diffusers import DiffusionPipeline
 
@@ -6,13 +8,16 @@ from diffusers import DiffusionPipeline
 pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-video-diffusion-img2vid-xt")
 
 # Define the function for Gradio to use
-def generate_video(input_image_path):
+def generate_video(input_image):
+    # Convert NumPy array to PIL Image
+    input_image_pil = Image.fromarray((input_image * 255).astype(np.uint8))
+
     output_video_path = "output_video.mp4"
-    pipeline(input_image_path, output_video_path)
+    pipeline(input_image_pil, output_video_path)
     return output_video_path
 
 # Create the Gradio interface
 iface = gr.Interface(fn=generate_video, inputs="image", outputs="file")
 
-# Launch the Gradio app
-iface.launch()
+# Launch the Gradio app with sharing enabled
+iface.launch(share=True)