File size: 452 Bytes
020b4ec
 
f74d5e4
020b4ec
cde25ed
020b4ec
 
 
 
e5b3a4d
 
b879baa
e5b3a4d
b879baa
e5b3a4d
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
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 digitado'
                    )

iface.launch(inline=False)