Update app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import numpy as np
 import torch
 import spaces
 from diffusers import FluxPipeline, FluxTransformer2DModel
@@ -32,6 +33,8 @@ pipe = FluxPipeline.from_pretrained(
 )
 pipe.to(device)
 
+MAX_SEED = np.iinfo(np.int32).max
+
 @spaces.GPU 
 def infer(prompt, seed, randomize_seed, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
     prompt_template = f"A side by side 4 frame image showing consecutive stills from a looped gif moving from left to right. The gif is {prompt}"