app.py

import gradio as gr
from transformers import pipeline

# Load pre-trained sentiment-analysis pipeline
classifier = pipeline("sentiment-analysis")

# Define the function for prediction
def analyze_sentiment(text):
    result = classifier(text)[0]
    return f"Label: {result['label']} (Score: {result['score']:.2f})"

# Create a Gradio interface
app = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(label="Enter a sentence"),
    outputs=gr.Textbox(label="Sentiment")
)

app.launch()