app.py

import gradio as gr
from transformers import pipeline

sentiment = pipeline(
    'sentiment-analysis',
    model='distilbert-base-uncased-finetuned-sst-2-english',
    framework='pt'  # or 'tf' for TensorFlow
)


def get_sentiment(input_text):
    result = sentiment(input_text)
    return f"Label: {result[0]['label']}, Score: {result[0]['score']}"


interface = gr.Interface(
    fn=get_sentiment,  # Function to call
    inputs=gr.Textbox(lines=3, label="입력"),  # Input type (text) with label
    outputs=gr.Textbox(label="output"),  # Output type (text) with label
    title="Sentiment Analysis"  # Title of the interface
)


interface.launch()