app.py

import json
import gradio as gr
from textblob import TextBlob

def sentiment_analysis(text:str) -> str:
    """
    Analyze the sentiment of a 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(label="Enter your 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",
    examples=[
        ["I love this product!"],
        ["This is the worst experience I've ever had."],
        ["I'm not sure about this."]
    ]
)

# Launch the Gradio interface and MCP server

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