import json
import gradio as gr
from textblob import TextBlob


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 = {
        # -1 (negative) to 1(positive)
        "polarity": round(sentiment.polarity, 2),
        "subjectivity": round(sentiment.subjectivity, 2),
        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
    }
    return json.dumps(result)
    # return f"Sentiment: {result['assessment']}"


# Create a Gradio instance

demo = gr.Interface(
    fn=sentiment_analysis,
    inputs=gr.Textbox(placeholder="Enter the text to analyze..."),
    outputs=gr.Textbox(),
    title="Text Sentiment Analysis",
    description="Analyse the sentiment of the text using TextBlob",
)


# Launch the gradio instance and MCP server
if __name__ == "__main__":
    demo.launch(mcp_server=True)