app.py

#!/usr/bin/env python

from __future__ import annotations

import argparse

import gradio as gr

from model import AppModel

import os

os.system("pip install git+https://github.com/Sleepychord/Image-Local-Attention@43fee31")

DESCRIPTION = '''# <a href="https://github.com/THUDM/CogVideo">CogVideo</a>

The model accepts only Chinese as input.
By checking the "Translate to Chinese" checkbox, the results of English to Chinese translation with [this Space](https://huggingface.co/spaces/chinhon/translation_eng2ch) will be used as input.
Since the translation model may mistranslate, you may want to use the translation results from other translation services.
'''


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser()
    parser.add_argument('--only-first-stage', action='store_true')
    parser.add_argument('--share', action='store_true')
    return parser.parse_args()


def set_example_text(example: list) -> dict:
    return gr.Textbox.update(value=example[0])


def main():
    args = parse_args()
    model = AppModel(args.only_first_stage)

    with gr.Blocks(css='style.css') as demo:
        gr.Markdown(DESCRIPTION)

        with gr.Row():
            with gr.Column():
                with gr.Group():
                    text = gr.Textbox(label='Input Text')
                    translate = gr.Checkbox(label='Translate to Chinese',
                                            value=False)
                    seed = gr.Slider(0,
                                     100000,
                                     step=1,
                                     value=1234,
                                     label='Seed')
                    only_first_stage = gr.Checkbox(
                        label='Only First Stage',
                        value=args.only_first_stage,
                        visible=not args.only_first_stage)
                    run_button = gr.Button('Run')

                    with open('samples.txt') as f:
                        samples = [[line.strip()] for line in f.readlines()]
                    examples = gr.Dataset(components=[text], samples=samples)

            with gr.Column():
                with gr.Group():
                    translated_text = gr.Textbox(label='Translated Text')
                    with gr.Tabs():
                        with gr.TabItem('Output (Video)'):
                            result_video = gr.Video(show_label=False)
                        with gr.TabItem('Output (Gallery)'):
                            result_gallery = gr.Gallery(show_label=False)

        run_button.click(fn=model.run_with_translation,
                         inputs=[
                             text,
                             translate,
                             seed,
                             only_first_stage,
                         ],
                         outputs=[
                             translated_text,
                             result_video,
                             result_gallery,
                         ])
        examples.click(fn=set_example_text,
                       inputs=examples,
                       outputs=examples.components)

    demo.launch(
        enable_queue=True,
        share=args.share,
    )


if __name__ == '__main__':
    main()