app.py

import gradio as gr
from transformers import pipeline

# Load sentiment analysis model
classifier = pipeline("sentiment-analysis")

# Prediction function
def predict_sentiment(text):
    result = classifier(text)[0]
    label = result["label"]
    score = round(result["score"], 4)
    return f"Sentiment: {label} (Confidence: {score})"

# Gradio UI
app = gr.Interface(
    fn=predict_sentiment,
    inputs=gr.Textbox(lines=3, placeholder="Enter your text here..."),
    outputs="text",
    title="BERT Sentiment Analysis",
    description="Enter text to classify sentiment as Positive or Negative"
)

app.launch()