Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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fill_mask=pipeline("fill-mask", model="blinoff/roberta-base-russian-v0")
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def predict_mask (sentence):
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result=fill_mask(sentence,top_k=3)
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outputs=[f"{r['token_str']},{round(r['score'],3)}" for r in result]
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return '\n'.join(outputs)
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def predict_mask1(sentence):
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result=fill_mask(sentence,top_k=3)
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token=[f"{r['token_str']}"for r in result]
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score=[f"{round(r['score'],3)}" for r in result]
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return token,score
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demo=gr.Interface(
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fn=predict_mask,
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inputs=gr.Textbox(label='Текст',placeholder='Москва - <mask> России'),
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outputs=gr.Textbox(label='Вариант заполнения'),
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title='Ввод предложений',
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description='Вводи предложение с маской',
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token=[f"r['token_str']"]
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)
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demo.launch(debug=True)
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