Create app.py

app.py

@@ -1,80 +1,7 @@
-#!/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)
-        print(gr.__version__)
-        run_button.click(fn=model.run_with_translation,
-                         inputs=[
-                             text,
-                             translate,
-                             seed,
-                             only_first_stage,
-                             image_prompt
-                         ],
-                         outputs=[translated_text, result_video])
-        print(gr.__version__)
-    demo.launch()
-
+def greet(name):
+    return "Hello " + name + "!!"
 
-if __name__ == '__main__':
-    main()
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()