main.py

import json
import gradio as gr
from textblob import TextBlob


# The docstring is crucial as it helps Gradio generate the MCP tool schema
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(),  # Changed from gr.JSON() to 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)