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import gradio as gr
title = "DistilBERT"
description = "Gradio Demo for DistilBERT. To use it, simply add your text, or click one of the examples to load them. Read more at the links below."
article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1910.01108' target='_blank'>DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter</a></p>"
examples = [
['The goal of life is [MASK].','distilbert-base-uncased']
]
io1 = gr.Interface.load("huggingface/distilbert-base-uncased")
io2 = gr.Interface.load("huggingface/distilbert-base-multilingual-cased")
def inference(inputtext, model):
if model == "distilbert-base-uncased":
outlabel = io1(inputtext)
else:
outlabel = io2(inputtext)
return outlabel
gr.Interface(
inference,
[gr.inputs.Textbox(label="Context",lines=10),gr.inputs.Dropdown(choices=["distilbert-base-uncased","distilbert-base-multilingual-cased"], type="value", default="distilbert-base-uncased", label="model")],
[gr.outputs.Label(label="Output")],
examples=examples,
article=article,
title=title,
description=description).launch(enable_queue=True) |