import json
import gradio as gr
from textblob import TextBlob


def sentiment_analysis(text: str):
    """
    Analyze the sentiment of the given text using the TextBlob library.

    Args:
        text (str): The text to analyze.

    Returns:
        str: A JSON string containing the polarity, subjectivity, and assessment of the text.
    """
    blob = TextBlob(text)
    sentiment = blob.sentiment
    result = {
        'polarity': sentiment.polarity,
        'subjectivity': sentiment.subjectivity,
        '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(label="Sentiment Analysis"),
    title="Text Sentiment Analysis",
    description="Analyze the sentiment of text using the TextBlob library."
)

# launch the gradio interface and MCP server
demo.launch(mcp_server=True)