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 input 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(lines=5, placeholder="Enter text to analyze..."),
    outputs=gr.Textbox(label="Sentiment Analysis Result (JSON)"), # Change from Gr.JSON to Textbox
    title="Sentiment Analysis Tool",
    description="Analyze the sentiment of your text using TextBlob. The output is provided in JSON format."
)
# Launch the interface and MCP Server
if __name__ == "__main__":
    demo.launch(mcp_server=True)