mcp-sentiment / app.py
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import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text:str) -> dict:
"""
Analyze the sentiment of the given text
Args:
text (str): The text to analyze
Returns:
dict: A dictionary containing polarity, subjectivity and assesment
"""
blob = TextBlob(text)
sentiment = blob.sentiment
return {
"polarity": round(sentiment.polarity, 2), #[-1 (Negative), 1 (Positive)]
"subjectivity": round(sentiment.subjectivity, 2), #[0 (objective),1(subjective)]
"assement": "positive" if sentiment.polarity >0 else "negative" if sentiment.polarity<0 else "neutral"
}
# Gradio interface
demo = gr.Interface(
fn = sentiment_analysis,
inputs= gr.Textbox(placeholder="Enter text to analyze..."),
outputs= gr.JSON(),
title="Text Sentiment Analysis",
description="Analyse the sentiment of text using TextBlob"
)
if __name__ == "__main__":
demo.launch(mcp_server=True)