File size: 3,270 Bytes
8aac645
 
 
 
 
 
 
 
 
 
6992dd6
8aac645
6992dd6
 
 
 
0e15ab1
6992dd6
8aac645
 
 
86b1386
6992dd6
8aac645
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
86b1386
6992dd6
7089576
7d40f91
 
8aac645
 
 
 
 
 
 
 
 
9d89621
7d40f91
 
9d89621
7d40f91
9d89621
 
6992dd6
053bc62
 
 
8aac645
 
 
 
 
 
7d40f91
8aac645
9d89621
8aac645
19dbe8c
8aac645
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
#!/usr/bin/env python

from __future__ import annotations

import gradio as gr

from model import AppModel

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

Currently, this Space only supports the first stage of the CogVideo pipeline due to hardware limitations.

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.
'''
NOTES = 'This app is adapted from <a href="https://github.com/hysts/CogVideo_demo">https://github.com/hysts/CogVideo_demo</a>. It would be recommended to use the repo if you want to run the app yourself.'
FOOTER = '<img id="visitor-badge" alt="visitor badge" src="https://visitor-badge.glitch.me/badge?page_id=THUDM.CogVideo" />'


def main():
    only_first_stage = True
    model = AppModel(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=only_first_stage,
                        visible=not only_first_stage)
                    image_prompt = gr.Image(type="filepath",
                                            label="Image Prompt",
                                            value=None)
                    run_button = gr.Button('Run')

            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)

        examples = gr.Examples(
            examples=[['骑滑板的皮卡丘', False, 1234, True,None],
                      ['a cat playing chess', True, 1253, True,None]],
            fn=model.run_with_translation,
            inputs=[text, translate, seed, only_first_stage,image_prompt],
            outputs=[translated_text, result_video],
            cache_examples=True)

        gr.Markdown(NOTES)
        gr.Markdown(FOOTER)

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

    demo.launch()


if __name__ == '__main__':
    main()