from typing import Text
import gradio as gr
from gradio.components.textbox import Textbox
from textblob import TextBlob
from ntpath import sep

def sentiment_analysis(text: str) -> dict:
    """
    Analyzes the sentiment of a given text.

    Args:
        text (str): The text to analyze.

    Returns:
        dict: A dictionary containing the sentiment polarity and subjectivity and assessment
    """

    blob = TextBlob(text)
    sentiment = blob.sentiment

    return {
        "polarity": round(sentiment.polarity, 2),
        "subjectivity": round(sentiment.subjectivity, 2),
        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
    }

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

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