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Update app.py
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app.py
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@@ -2,22 +2,35 @@ import gradio as gr
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from transformers import pipeline
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pipe = pipeline("translation_en_to_zh", model='facebook/m2m100_418M')
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return pipe(text)[0]["translation_text"]
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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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translate_btn = gr.Button(value="Translate")
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with gr.Column():
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translate_btn.click(translate, inputs=
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examples = gr.Examples(examples=["I went to the supermarket yesterday.", "Helen is a good swimmer."],
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inputs=[english])
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demo.launch()
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from transformers import pipeline
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model_list = [
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"facebook/m2m100_418M",
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"Helsinki-NLP/opus-mt-en-zh",
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"liam168/trans-opus-mt-en-zh",
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"facebook/nllb-200-3.3B"
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]
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#init
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for model_name in model_list:
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pipeline("translation_en_to_zh", model=model_name)
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def translate(text, model_name):
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pipe = pipeline("translation_en_to_zh", model=model_name)
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return pipe(text)[0]["translation_text"]
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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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englishtxt_model_input = [
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gr.Textbox(label="English text"),
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gr.Dropdown(model_list, value="facebook/m2m100_418M", label="Model")
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]
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translate_btn = gr.Button(value="Translate")
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with gr.Column():
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chinese_output = gr.Textbox(label="Chinese Text")
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translate_btn.click(translate, inputs=englishtxt_model_input, outputs=chinese_output, api_name="translate-to-chinese")
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examples = gr.Examples(examples=["I went to the supermarket yesterday.", "Helen is a good swimmer."],
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inputs=[english])
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demo.launch()
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