app.py

from transformers import pipeline
import gradio as gr

# Load the model from Hugging Face
classifier = pipeline("sentiment-analysis")

# Define the function to make predictions
def predict(text):
    result = classifier(text)[0]
    return f"{result['label']} ({result['score']:.2f})"

# Create the Gradio interface
gr.Interface(
    fn=predict,
    inputs=gr.Textbox(label="Enter Text"),
    outputs=gr.Label(label="Sentiment"),
    title="Sentiment Analysis with DistilBERT",
    description="Classify text as positive or negative.",
).launch()