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Upload folder using huggingface_hub

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  1. data.log +0 -0
  2. readme.md +6 -0
  3. test.py +37 -0
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+ ---
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+ title: testdeploy
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+ app_file: test.py
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+ sdk: gradio
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+ sdk_version: 3.36.1
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+ ---
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+
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+ '''
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+ 对话机器人demo
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+ '''
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+
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+
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+ '''
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+ 通过t5模型进行翻译demo
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+ '''
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ # pipe = pipeline("translation", model="t5-base") # default is English to German
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+
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+ # pipe = pipeline("translation_en_to_fr", model="t5-base") # translate English to France
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+
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+ pipe = pipeline("translation_en_to_fr", model="/Users/wayne/.cache/huggingface/hub/models--t5-base-lwf/snapshots/fe6d9bf207cd3337512ca838a8b453f87a9178ef")
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+
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+ def translate(text):
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+ return pipe(text)[0]['translation_text']
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+
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+
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+ with gr.Blocks() as demo:
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+ with gr.Row():
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+ with gr.Column():
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+ english = gr.Textbox(label="English text")
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+ translate_btn = gr.Button(value="Translate")
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+ with gr.Column():
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+ german = gr.Textbox(label="German text")
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+
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+ translate_btn.click(fn=translate, inputs=[english], outputs=[german])
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+ examples = gr.Examples(examples=["I went to the supermarket yesterday.", "Helen is a good swimmer."], inputs=[english])
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+
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+
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+ demo.launch(server_port=8888)
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