skeletonbear/mcp-sentiment

1import json2from re import S3import gradio as gr4from textblob import TextBlob5 6def sentiment_analysis(text:str) -> str:7    """8    Analyze the sentiment of the given text.9 10    Args:11        text (str): The text to analyze12 13    Returns:14        str: A JSON string containing polarity, subjectivity, and assessment15    """16    blob = TextBlob(text)17    sentiment = blob.sentiment18 19    result  = {20        "polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)21        "subjectivity":round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)22        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0  else "neutral"23    }24 25    return json.dumps(result)26 27 28# Create the Gradio interface29demo = gr.Interface(30    fn=sentiment_analysis,31    inputs=gr.Textbox(lines=3, placeholder="Enter your text here..."),32    outputs=gr.Textbox(),33    title="Text Sentiment Analysis",34    description="Analyze the sentiment of text using TextBlob",35)36 37if __name__ == "__main__":38    demo.launch(mcp_server=True)39