app.py

import json
from typing import Dict, Any
import gradio as gr
from textblob import TextBlob  # type: ignore

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  # type: ignore
    
    # Extract sentiment values with type ignores for TextBlob
    polarity = float(sentiment.polarity)  # type: ignore
    subjectivity = float(sentiment.subjectivity)  # type: ignore
    
    result: Dict[str, Any] = {
        "polarity": round(polarity, 2),  # -1 (negative) to 1 (positive)
        "subjectivity": round(subjectivity, 2),  # 0 (objective) to 1 (subjective)
        "assessment": "positive" if polarity > 0 else "negative" if 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)