Update app.py

app.py

@@ -2,7 +2,6 @@
 #!/usr/bin/env python
 
 import os
-import random
 import gradio as gr
 import numpy as np
 from PIL import Image
@@ -29,16 +28,9 @@ if torch.cuda.is_available():
     pipe.fuse_lora()
 else:
     pipe = None
-    
-def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-    return seed
-
 
 def generate(prompt: str,
              negative_prompt: str = '',
-             use_negative_prompt: bool = False,
              seed: int = 0,
              width: int = 1024,
              height: int = 1024,
@@ -51,9 +43,6 @@ def generate(prompt: str,
         
     generator = torch.Generator().manual_seed(seed)
 
-    if not use_negative_prompt:
-        negative_prompt = None  # type: ignore
-
     image = pipe(prompt=prompt,
                 negative_prompt=negative_prompt,
                 width=width,
@@ -93,19 +82,17 @@ with gr.Blocks() as demo:
     )
     result = gr.Image(label='Result', show_label=False, type="base64")
 
-    use_negative_prompt = gr.Checkbox(label='Use negative prompt', value=False)
     negative_prompt = gr.Text(
         label='Negative prompt',
         max_lines=1,
         placeholder='Enter a negative prompt',
-        visible=False,
+        visible=True,
     )
     seed = gr.Slider(label='Seed',
                     minimum=0,
                     maximum=MAX_SEED,
                     step=1,
                     value=0)
-    randomize_seed = gr.Checkbox(label='Randomize seed', value=False)
 
     width = gr.Slider(
         label='Width',
@@ -133,19 +120,10 @@ with gr.Blocks() as demo:
         maximum=8,
         step=1,
         value=4)
-    
-    use_negative_prompt.change(
-        fn=lambda x: gr.update(visible=x),
-        inputs=use_negative_prompt,
-        outputs=negative_prompt,
-        queue=False,
-        api_name=False,
-    )
 
     inputs = [
         prompt,
         negative_prompt,
-        use_negative_prompt,
         seed,
         width,
         height,
@@ -154,12 +132,6 @@ with gr.Blocks() as demo:
         secret_token,
     ]
     prompt.submit(
-        fn=randomize_seed_fn,
-        inputs=[seed, randomize_seed],
-        outputs=seed,
-        queue=False,
-        api_name=False,
-    ).then(
         fn=generate,
         inputs=inputs,
         outputs=result,