app.py

from transformers import pipeline
import gradio as gr

classifer = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")

def analyze_sentiment(text):
    result = classifer(text)[0];
    return f"Label: {result['label']}, Score: {result['score']}"

iface = gr.Interface(fn=analyze_sentiment,
                     inputs=gr.Textbox(lines=2, placeholder="Enter text to analyze sentiment here..."),
                     outputs="text",
                     title="Sentiment Analysis",
                     description="Classify text as positive or negative sentiment using a pre-trained model DistilBert.")

# iface.launch(share=True)
iface.launch()