app.py

import gradio as gr
from textblob import TextBlob

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

    Args:
        text (str): The text to analyze

    Returns:
        dict: A dictionary containing polarity, subjectivity, and assessment
    """
    blob = TextBlob(text)
    sentiment = blob.sentiment

    return {
        "polarity": sentiment.polarity,
        "subjectivity": sentiment.subjectivity,
        "assessment": blob.sentiment_assessments
    }

#Create the Gradio interface
demo = gr.Interface(
    fn=sentiment_analysis,
    inputs=gr.Textbox(lines=2, placeholder="Enter text to analyze ..."),
    outputs=gr.JSON(),
    title="Text Sentiment Analysis",
    description="Analyze the sentiment of your text using TextBlob",
)

#Launch the app and MCP server
if __name__ == "__main__":
    demo.launch(mcp_server=True)