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from transformers import FlaxT5ForConditionalGeneration
import gradio as gr
model_flax = FlaxT5ForConditionalGeneration.from_pretrained("thegoodfellas/tgf-flan-t5-base-ptbr")
def summarize():
pass
demo = gr.Interface(fn=summarize,
inputs=[
gr.inputs.Textbox(lines=20, label="Text"),
],
outputs=gr.outputs.Textbox(label="Summary"),
title="Flan T5 Summarization",
description="Summarize text using T5 model",
)
demo.launch()
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