Spaces:
Sleeping
Sleeping
File size: 514 Bytes
fd925f9 68a6600 b742362 68a6600 fd925f9 68a6600 fd925f9 68a6600 |
1 2 3 4 5 6 7 8 9 10 11 12 13 |
import gradio as gr
from transformers import pipeline
sentiment = pipeline("sentiment-analysis", model="cardiffnlp/twitter-roberta-base-sentiment-latest")
def get_sentiment(input_text):
return sentiment(input_text)
iface = gr.Interface(fn = get_sentiment,
inputs = "text",
outputs = ['text'],
title= 'Sentiment Analysis',
description = 'Get Sentiment Negative/Positive for the given input')
iface.launch(inline = False) |