app.py

import gradio as gr
from transformers import pipeline

# Load the sentiment-analysis pipeline with a specified model
classifier = pipeline('sentiment-analysis', model='distilbert-base-uncased-finetuned-sst-2-english')

def sentiment_analysis(text):
    result = classifier(text)[0]
    return f"Label: {result['label']}, Score: {round(result['score'], 4)}"

iface = gr.Interface(
    fn=sentiment_analysis,
    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
    outputs=gr.Textbox(),
    title="Simple Sentiment Analysis",
    description="Enter a sentence and see if it's Positive or Negative!"
)

iface.launch()