Update app.py

app.py

@@ -132,11 +132,6 @@ def save_image(img):
     img.save(unique_name,optimize=False,compress_level=0)
     return unique_name
 
-def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-    return seed
-
 def uploadNote(prompt,num_inference_steps,guidance_scale,timestamp,denoise):
     filename= f'tst_A_{timestamp}.txt'
     with open(filename, "w") as f:
@@ -169,7 +164,7 @@ def generate_30(
     use_resolution_binning: bool = True, 
     progress=gr.Progress(track_tqdm=True)  # Add progress as a keyword argument
 ):
-    seed = int(randomize_seed_fn(seed, randomize_seed))
+    seed = random.randint(0, MAX_SEED)
     generator = torch.Generator(device='cuda').manual_seed(seed)
     options = {
         "prompt": [prompt],
@@ -209,7 +204,7 @@ def generate_60(
     use_resolution_binning: bool = True, 
     progress=gr.Progress(track_tqdm=True)  # Add progress as a keyword argument
 ):
-    seed = int(randomize_seed_fn(seed, randomize_seed))
+    seed = random.randint(0, MAX_SEED)
     generator = torch.Generator(device='cuda').manual_seed(seed)
     options = {
         "prompt": [prompt],
@@ -249,7 +244,7 @@ def generate_90(
     use_resolution_binning: bool = True, 
     progress=gr.Progress(track_tqdm=True)  # Add progress as a keyword argument
 ):
-    seed = int(randomize_seed_fn(seed, randomize_seed))
+    seed = random.randint(0, MAX_SEED)
     generator = torch.Generator(device='cuda').manual_seed(seed)
     options = {
         "prompt": [prompt],