Update app.py

app.py

@@ -61,8 +61,12 @@ def get_duration(prompt, height, width, negative_prompt, duration_seconds, guida
 
 # Gradio inference function with spaces GPU decorator
 @spaces.GPU(duration=get_duration)
-def generate_video(prompt, height, width, negative_prompt, duration_seconds, guidance_scale, steps, seed, randomize_seed, progress=gr.Progress(track_tqdm=True)):
-    num_frames = np.clip(int(round(duration_seconds * FIXED_FPS)), MIN_FRAMES_MODEL, MAX_FRAMES_MODEL)
+def generate_video(prompt, height, width, negative_prompt, duration_seconds,
+                   guidance_scale, steps, seed, randomize_seed,
+                   progress=gr.Progress(track_tqdm=True)):
+    
+    num_frames = np.clip(int(round(duration_seconds * FIXED_FPS)),
+                         MIN_FRAMES_MODEL, MAX_FRAMES_MODEL)
     current_seed = random.randint(0, MAX_SEED) if randomize_seed else int(seed)
 
     output_frames_list = pipe(
@@ -81,8 +85,8 @@ def generate_video(prompt, height, width, negative_prompt, duration_seconds, gui
 
     export_to_video(output_frames_list, video_path, fps=FIXED_FPS)
 
-    return video_path, current_seed
-
+    # Return seed as string to avoid TypeError
+    return video_path, str(current_seed)
 
 # Build Gradio UI with all parameters
 with gr.Blocks(css="body { max-width: 100vw; overflow-x: hidden; }") as demo: