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app.py
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#!/usr/bin/env python
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from __future__ import annotations
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import gradio as gr
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# from model import AppModel
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MAINTENANCE_NOTICE='Sorry, due to computing resources issues, this space is under maintenance, and will be restored as soon as possible. '
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DESCRIPTION = '''# <a href="https://github.com/THUDM/CogVideo">CogVideo</a>
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Currently, this Space only supports the first stage of the CogVideo pipeline due to hardware limitations.
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The model accepts only Chinese as input.
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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.
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Since the translation model may mistranslate, you may want to use the translation results from other translation services.
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'''
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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.'
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FOOTER = '<img id="visitor-badge" alt="visitor badge" src="https://visitor-badge.glitch.me/badge?page_id=THUDM.CogVideo" />'
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import json
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import requests
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def post(
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text,
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translate,
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seed,
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only_first_stage,
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image_prompt
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):
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url = 'https://ccb8is4fqtofrtdsfjebg.ml-platform-cn-beijing.volces.com/devinstance/di-20221130120908-bhpxq/proxy/6201/cogvideo-s1'
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headers = {
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"Content-Type": "application/json; charset=UTF-8",
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"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36",
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}
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data = json.dumps({'text': text,
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'translate': translate,
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'seed': seed,
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'only_first_stage': only_first_stage,
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'image_prompt': image_prompt
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})
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r = requests.post(url, data, headers=headers)
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translated_text = r.json()['data']['translated_text']
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result_video = r.json()['data']['result_video']
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return translated_text, result_video
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def main():
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only_first_stage = True
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# model = AppModel(only_first_stage)
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with gr.Blocks(css='style.css') as demo:
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# gr.Markdown(MAINTENANCE_NOTICE)
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gr.Markdown(DESCRIPTION)
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with gr.Row():
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with gr.Column():
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with gr.Group():
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text = gr.Textbox(label='Input Text')
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translate = gr.Checkbox(label='Translate to Chinese',
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value=False)
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seed = gr.Slider(0,
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100000,
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step=1,
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value=1234,
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label='Seed')
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only_first_stage = gr.Checkbox(
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label='Only First Stage',
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value=only_first_stage,
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visible=not only_first_stage)
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image_prompt = gr.Image(type="filepath",
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label="Image Prompt",
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value=None)
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run_button = gr.Button('Run')
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with gr.Column():
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with gr.Group():
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translated_text = gr.Textbox(label='Translated Text')
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with gr.Tabs():
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with gr.TabItem('Output (Video)'):
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result_video = gr.Video(show_label=False)
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# examples = gr.Examples(
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# examples=[['骑滑板的皮卡丘', False, 1234, True,None],
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# ['a cat playing chess', True, 1253, True,None]],
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# fn=model.run_with_translation,
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# inputs=[text, translate, seed, only_first_stage,image_prompt],
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# outputs=[translated_text, result_video],
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# cache_examples=True)
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gr.Markdown(NOTES)
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gr.Markdown(FOOTER)
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print(gr.__version__)
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run_button.click(fn=post,
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inputs=[
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text,
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translate,
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seed,
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only_first_stage,
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image_prompt
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],
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outputs=[translated_text, result_video])
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print(gr.__version__)
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demo.launch()
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if __name__ == '__main__':
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main()
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