mcp-sentiment / app.py
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import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text: str) -> dict:
"""Analyze sentiment and return polarity/subjectivity/assessment."""
pol = round(TextBlob(text).sentiment.polarity, 2) # [-1, 1]
subj = round(TextBlob(text).sentiment.subjectivity, 2) # [0, 1]
return {
"polarity": pol,
"subjectivity": subj,
"assessment": "positive" if pol > 0 else "negative" if pol < 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 text using TextBlob",
)
if __name__ == "__main__":
demo.launch(mcp_server=True) # enables the MCP server alongside the UI