app.py

from transformers import pipeline
import gradio as gr
roberta_pipe = pipeline(
    "sentiment-analysis",
    model="siebert/sentiment-roberta-large-english",
    tokenizer="siebert/sentiment-roberta-large-english",
    return_all_scores = True
)

def analyse_sentiment(text):
    response = roberta_pipe(text)
    d = {}
    for i in response[0]:
      d[i['label'].lower()] = i['score']
    return d

text = gr.Textbox(lines=5, placeholder="Enter Text to Get Sentiment",default="", label="Enter Text")

iface = gr.Interface(fn=analyse_sentiment, inputs=[text], outputs="label", title='Roberta Sentiment Analysis')
iface.launch(enable_queue=True)