Margaret's picture
Update app.py
3b5753d
raw
history blame
510 Bytes
import gradio as gr
from transformers import pipeline
pipe = pipeline("sentiment-analysis", model="cardiffnlp/twitter-roberta-base-sentiment-latest")
def get_sentiment(user_text):
return pipe(user_text)[0]["label"]
iface = gr.Interface(fn = get_sentiment,
inputs = "text",
outputs = ['text'],
title= 'Sentiment Analysis',
description = 'Get Sentiment Negative/Positive/Neutral for the given input')
iface.launch()