app.py

import gradio as gr
from transformers import pipeline

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

# Define prediction function
def predict(text):
    result = classifier(text)[0]
    return result["label"], round(result["score"], 3)

# Create Gradio interface
app = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(label="Enter text"),
    outputs=[gr.Text(label="Sentiment"), gr.Number(label="Confidence Score")]
)

# 🚀 This is required in Spaces
app.launch()