app.py

import gradio as gr
from textblob import TextBlob


def sentiment_analysis(text:str) -> dict:
    """ 
    Analyze the sentiment of the givwn text

    Args:
        txt (str): The text to analyze

    Returns:
        dict: A dictionary containing polarity, subjectivity, and assesment. 
    """

    blob = TextBlob(text)
    sentiment = blob.sentiment

    return {
        "polarity": round(sentiment.polarity, 2),
        "subjectivity": round(sentiment.subjectivity, 2),
        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
    }

# Create the Gradio interface
demo = gr.Interface(
    fn=sentiment_analysis,
    inputs=gr.Textbox(placeholder="Enter Text to analyze..."),
    outputs=gr.JSON(),
    title="Text Sentiment Analaysis",
    description="Analyze the sentiment of text using TextBlob"
)

#Launch the interface and MCP server

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