import gradio as gr
from transformers import pipeline

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

# Define a function for sentiment analysis
def analyze_sentiment(text):
    return model(text)[0]  # Get the first result (sentiment and score)

# Create a Gradio interface for user input and output
iface = gr.Interface(
    fn=analyze_sentiment,
    inputs="text",
    outputs="json",
    title="Sentiment Analysis Demo",
    description="This app analyzes the sentiment of your text input using a pre-trained model."
)

# Launch the interface
if __name__ == "__main__":
    iface.launch()