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Add app file
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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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unmasker = pipeline('fill-mask', model="CenIA/distillbert-base-spanish-uncased")
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def fill_mask(text):
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text += " [MASK]"
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unmasked = unmasker(text, top_k=8)
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output = {}
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for unmask in unmasked:
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output[unmask["token_str"]] = unmask["score"]
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return output
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examples = [["quiero comer "], ["me gustaría ir a"]]
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demo = gr.Interface(fn=fill_mask, inputs=gr.Textbox(lines=1, label="Input"), outputs=gr.Label(label="Output"), examples=examples)
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demo.launch()
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