102 lines
3.2 KiB
Python
102 lines
3.2 KiB
Python
#!/usr/bin/env python
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import gradio as gr
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from model import Model
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from settings import CACHE_EXAMPLES, MAX_SEED
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from utils import randomize_seed_fn
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from gradio.themes.utils import sizes
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theme = gr.themes.Default(radius_size=sizes.radius_none).set(
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block_label_text_color = '#4D63FF',
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block_title_text_color = '#4D63FF',
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button_primary_text_color = '#4D63FF',
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button_primary_background_fill='#FFFFFF',
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button_primary_border_color='#4D63FF',
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button_primary_background_fill_hover='#EDEFFF',
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)
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def create_demo(model: Model) -> gr.Blocks:
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examples = [
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'A chair that looks like an avocado',
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'An airplane that looks like a banana',
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'A spaceship',
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'A birthday cupcake',
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'A chair that looks like a tree',
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'A green boot',
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'A penguin',
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'Ube ice cream cone',
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'A bowl of vegetables',
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]
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def process_example_fn(prompt: str) -> str:
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return model.run_text(prompt)
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with gr.Blocks(theme=theme) as demo:
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with gr.Box():
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with gr.Row(elem_id='prompt-container'):
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prompt = gr.Text(
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label='提示词',
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show_label=False,
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max_lines=1,
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placeholder='输入提示词').style(container=False)
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run_button = gr.Button('运行').style(full_width=False)
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result = gr.Model3D(label='结果', show_label=False)
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with gr.Accordion('高级选项', open=False):
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seed = gr.Slider(label='Seed',
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0)
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randomize_seed = gr.Checkbox(label='Randomize seed',
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value=True)
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guidance_scale = gr.Slider(label='Guidance scale',
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minimum=1,
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maximum=20,
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step=0.1,
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value=15.0)
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num_inference_steps = gr.Slider(
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label='Number of inference steps',
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minimum=1,
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maximum=100,
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step=1,
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value=64)
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gr.Examples(examples=examples,
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inputs=prompt,
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outputs=result,
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fn=process_example_fn,
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cache_examples=CACHE_EXAMPLES,
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label="例子")
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inputs = [
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prompt,
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seed,
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guidance_scale,
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num_inference_steps,
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]
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prompt.submit(
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fn=randomize_seed_fn,
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inputs=[seed, randomize_seed],
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outputs=seed,
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queue=False,
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).then(
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fn=model.run_text,
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inputs=inputs,
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outputs=result,
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)
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run_button.click(
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fn=randomize_seed_fn,
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inputs=[seed, randomize_seed],
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outputs=seed,
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queue=False,
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).then(
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fn=model.run_text,
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inputs=inputs,
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outputs=result,
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)
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return demo
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