app.py

import gradio as gr
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer


def vader_sentiment_analysis(text: str) -> dict:    
    """Perform sentiment analysis on the input text.

    Args:
        text (str): The input text to analyze.
    Returns:
        dict: A dictionary containing the polarity, subjectivity and assessment of the text.
    """
    analyzer = SentimentIntensityAnalyzer()
    sentiment = analyzer.polarity_scores(text)
    return {"Polarity": round(sentiment["compound"], 2),
            "Subjectivity": round(sentiment["neu"], 2),
            "Assessment": "Positive" if sentiment["compound"] > 0 else "Negative" if sentiment["compound"] < 0 else "Neutral"}


examples = [
    ["AI technology is causing students to get lazy"],
    ["AI technology is transforming the world positively"],
  
]

demo = gr.Interface(  
    fn=vader_sentiment_analysis,
    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
    outputs=gr.JSON(),
    examples=examples,
    title="Sentiment Analysis",
    description="Enter text to analyze its sentiment. \nThe output will show the polarity, subjectivity, and overall assessment of the text.",    
    theme="default"
)

if __name__ == "__main__":
    demo.launch(mcp_server=True)