app.py

import gradio as gr
from transformers import pipeline

# Load the sentiment analysis pipeline
sentiment_pipeline = pipeline("sentiment-analysis")

# Function to analyze sentiment
def analyze_sentiment(text):
    result = sentiment_pipeline(text)[0]
    label = result['label']
    score = round(result['score'], 3)
    return f"{label} ({score})"

# Create Gradio interface
interface = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(lines=2, placeholder="Type a sentence here..."),
    outputs="text",
    title="Sentiment Analyzer",
    description="Enter text to analyze its sentiment using a Hugging Face model.",
)

# Launch the app
interface.launch()