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 the polarity, subjectivity , and assesment
    """
    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 Grdio interface
demo = gr.Interface(
    fn=sentiment_analysis,
    inputs= gr.Textbox(placeholder="Enter text to analyse..."),
    outputs = gr.Textbox(),
    title="Text Sentiment Analysis",
    description="Analyze the sentiment of the text using TextBlob"
)

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