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Update app.py
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app.py
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import gradio as gr
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description = "Gradio Demo for BERT. To use it, simply add your text, or click one of the examples to load them. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1810.04805' target='_blank'>BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding</a></p>"
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examples = [
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['Paris is the [MASK] of France.','bert-base-cased']
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]
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io1 = gr.Interface.load("huggingface/bert-base-cased")
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io2 = gr.Interface.load("huggingface/bert-base-uncased")
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def inference(inputtext, model):
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if model == "bert-base-cased":
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outlabel = io1(inputtext)
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else:
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outlabel = io2(inputtext)
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return outlabel
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gr.Interface(
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inference,
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[gr.inputs.Textbox(label="Context",lines=10),gr.inputs.Dropdown(choices=["bert-base-cased","bert-base-uncased"], type="value", default="bert-base-cased", label="model")],
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[gr.outputs.Label(label="Output")],
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examples=examples,
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article=article,
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title=title,
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description=description).launch(enable_queue=True,cache_examples=True)
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import gradio as gr
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gr.Interface.load("models/bert-base-uncased", examples=["The goal of life is [MASK]."]).launch()
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