app.py

import gradio as gr
from transformers import pipeline

model_name = "distilbert/distilbert-base-uncased-finetuned-sst-2-english"
sentiment_analysis = pipeline("text-classification", model=model_name)

def pipe(text):
    return "The entered sentence is  " + str(sentiment_analysis (text)(0)['label'])+ "!"


    
demo = gr.Interface(
    fn=pipe,
    inputs=["text"],
    outputs=["text"],
)

demo.launch()