app.py

import json
import gradio as gr
from textblob import TextBlob

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

    Args:
        text (str): The text to analyze

    Returns:
        str: A JSON string containing polarity, subjectivity and assessment
    """
    blob = TextBlob(text)
    sentiment = blob.sentiment
    
    result = {
        "polarity": round(sentiment.polarity, 2), #-1 (negative) to 1 (positive)
        "subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
        "assessment": "positive" if sentiment.polarity>0 else "negative" if sentiment.polarity<0 else "neutral" 
    }
    
    return json.dumps(result)

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

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