app.py

import gradio as gr 
from textblob import TextBlob
#from mcp.server.fastmcp import FastMCP


#mcp = FastMCP("Sentiment Analysis")

#@mcp.tool()
def sentiment_analysis(text: str) -> str:
    """
    Analyze the sentiment of the given text.

    Args:
        text (str): The text to analyze

    Returns:
        dict: A dictionary containing polarity, subjectivity, and assessment
    """
    sentiment = TextBlob(text)
    return {
        "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"
    }


demo = gr.Interface(
    fn=sentiment_analysis,
    inputs=gr.Textbox(lines=10, placeholder="Enter your text here"),
    outputs=gr.Textbox(lines=10, placeholder="Sentiment analysis result"),
    title="Sentiment Analysis",
    description="Analyze the sentiment of a given text",
    examples=[
        ["I love this product"],
        ["I hate this product"],
        ["I'm neutral about this product"],
    ],
)


if __name__ == "__main__":
    demo.launch(mcp_server=True, debug=True)