app.py

import json
import gradio as gr
from textblob import TextBlob

def sentiment_analysis(text: str) -> str:
    '''
    Analyse the sentiment of the given text

    Args:
        text (str): The text to analyse

    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)

# Gradio interface
demo = gr.Interface(
    fn = sentiment_analysis,
    inputs = gr.Textbox(placeholder = 'Enter text to analyse...'),
    outputs = gr.Textbox(),  # Changed from gr.JSON() to gr.Textbox()
    title = 'Text Sentiment Analysis',
    description = 'Analyse the sentiment of text using TextBlob'
)

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