Update app.py

app.py

@@ -4,6 +4,8 @@ import torch
 import spaces
 import random
 from PIL import Image
+import icecream as ic
+import numpy as np
 
 from glob import glob
 from pathlib import Path
@@ -20,8 +22,7 @@ from huggingface_hub import hf_hub_download
 os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
 HF_TOKEN = os.environ.get("HF_TOKEN", None)
 # Constants
-#MAX_SEED = np.iinfo(np.int32).max
-MAX_SEED = 2147483647
+MAX_SEED = np.iinfo(np.int32).max
 CSS = """
 footer {
     visibility: hidden;
@@ -56,13 +57,13 @@ def generate(
     output_folder: str = "outputs",
     progress=gr.Progress(track_tqdm=True)):
 
+    ic(image)
+    
     if seed == -1:
         seed = random.randint(0, MAX_SEED)
         
     image = Image.open(image)
-    if image.mode == "RGBA":
-        image = image.convert("RGB")
-        
+
     torch.manual_seed(seed)
     
     os.makedirs(output_folder, exist_ok=True)
@@ -101,7 +102,7 @@ with gr.Blocks(css=CSS, js=JS, theme="soft") as demo:
     gr.HTML("<h1><center>Exvideo📽️</center></h1>")
     gr.HTML("<p><center><a href='https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1'>ExVideo</a> image-to-video generation<br><b>Update</b>: first version</center></p>")
     with gr.Row():
-        image = gr.Image(label='Upload Image', height=600, scale=2)
+        image = gr.Image(label='Upload Image', height=600, scale=2, image_mode="RGB", type="filepath")
         video = gr.Video(label="Generated Video", height=600, scale=2)
         with gr.Accordion("Advanced Options", open=True):
             with gr.Column(scale=1):
@@ -126,9 +127,9 @@ with gr.Blocks(css=CSS, js=JS, theme="soft") as demo:
                     minimum=5, 
                     maximum=30
                 )
-
-    submit_btn = gr.Button(value="Generate")
-    clear_btn = gr.ClearButton([image, seed, video])
+    with gr.Row():
+        submit_btn = gr.Button(value="Generate")
+        clear_btn = gr.ClearButton([image, seed, video])
     gr.Examples(
         examples=examples,
         inputs=image,