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| #!/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) | |
| 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) | |
| with gr.TabItem('Output (Gallery)'): | |
| result_gallery = gr.Gallery(show_label=False) | |
| gr.Markdown(NOTES) | |
| gr.Markdown(FOOTER) | |
| with open('samples.txt') as f: | |
| samples = [[line.strip()] for line in f.readlines()] | |
| examples = gr.Examples(examples=samples, | |
| fn=model.run_with_translation, | |
| inputs=[text,translate,seed,only_first_stage], | |
| outputs=[translated_text,result_video,result_gallery], | |
| cache_examples=True) | |
| run_button.click(fn=model.run_with_translation, | |
| inputs=[ | |
| text, | |
| translate, | |
| seed, | |
| only_first_stage, | |
| ], | |
| outputs=[ | |
| translated_text, | |
| result_video, | |
| result_gallery, | |
| ]) | |
| demo.launch() | |
| if __name__ == '__main__': | |
| main() | |