app.py

import json
import gradio as gr
from textblob import TextBlob

def sentiment_analysis(text:str)->str:
    """
    Analyze the sentiment of the given text.
    
    Arags :
        Text (str): the text to analyze
    
    Returns: 
        str: A JSON  string containing polarity, subjectivity, and asssesment
    """

    blob = TextBlob(text)
    sentiment = blob.sentiment # type: ignore

    result = { # type: ignore
        "polarity": round(sentiment.polarity, 2),  # -1 (negative) to 1 (positive) # type: ignore
        "subjectivity": round(sentiment.subjectivity, 2),  # 0 (objective) to 1 (subjective) # type: ignore
        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral" # type: ignore
    }

    return json.dumps(result)



demo = gr.Interface(
    fn=sentiment_analysis,
    inputs=gr.Textbox(placeholder="Enter 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"
)


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