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import gradio as gr
title = "Tagalog RoBERTa"
description = "<p style='text-align: center'>Tagalog Gradio Demo for RoBERTa. To use it, simply add your text, or click one of the examples to load them.</p>"
article = "<p style='text-align: center'>Improving Large-scale Language Models and Resources for Filipino,Jan Christian Blaise Cruz and Charibeth Cheng,arXiv preprint arXiv:2111.06053,2021</p>"
examples = [
['Makulay ang <mask> na suot ni Roberta.','roberta-tagalog-base'],
['Nakakasilaw ang sikat ng <mask>.', 'roberta-tagalog-large'],
['Malakas ang buhos ng <mask>.', 'roberta-tagalog-large' ]
]
i1 = gr.Interface.load("huggingface/jcblaise/roberta-tagalog-base")
i2 = gr.Interface.load("huggingface/jcblaise/roberta-tagalog-large")
def inference(inputtext, model):
if model == "roberta-tagalog-base":
outlabel = i1(inputtext)
if model == "roberta-tagalog-large":
outlabel = i2(inputtext)
return outlabel
gr.Interface(
inference,
[gr.inputs.Textbox(label="Input text",lines=10),gr.inputs.Dropdown(choices=["roberta-tagalog-base","roberta-tagalog-large"], type="value", default="roberta-tagalog-base", label="model")],
[gr.outputs.Label(label="Output")],
examples=examples,
article=article,
title=title,
description=description).launch(enable_queue=False) |