tclopess's picture
Update app.py
cde25ed verified
raw
history blame
453 Bytes
from transformers import pipeline
import gradio as gr
import torch
pipe = pipeline('sentiment-analysis')
def get_sentiment(input_text):
return pipe(input_text)
iface = gr.Interface(fn=get_sentiment,
inputs='text',
outputs='text',
title='Sentiment Analysis',
description='Obtenha o sentimento do texto de entrada:'
)
iface.launch(inline=False)