Spaces:
Running
on
Zero
Running
on
Zero
Create app.py
Browse filesgit add app.py
git commit -m "Add application file"
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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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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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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(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=model.run_with_translation,
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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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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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iface.launch()
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