nlp_tasks_2 / app.py
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import gradio as gr
title = "NLP Tasks - T0pp"
description = "This T0pp language model can perform natural language processing (NLP) tasks such as inference, paraphrasing, question-answering and summarization. You can specify the task and query in natural language in the Input Text box."
examples = [
['A is the son's of B's uncle. What is the family relationship between A and B?'],["Question A: How is air traffic controlled?
Question B: How do you become an air traffic controller?
Pick one: these questions are duplicates or not duplicates."],["Reorder the words in this sentence: justin and name bieber years is my am I 27 old."]
]
gr.Interface.load("huggingface/bigscience/T0pp", inputs=gr.inputs.Textbox(lines=5, label="Input Text"),title=title, description=description, examples=examples, enable_queue=True).launch()