mcp-sentiment / app.py
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Update app.py
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import json
import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text:str) -> str:
"""
Analyze the sentiment of given sentence or text.
Args:
text (str) : text to be analysed
Returns:
str: A JSOn String containing polarity,subjectivity and assessment
"""
blob = TextBlob(text)
sentiment = blob.sentiment
result={
"plarity": round(sentiment.polarity, 2),
"subjectivity": round(sentiment.subjectivity, 2),
"assessment": "positive" if sentiment.polarity >0 else "negative" if sentiment.polarity <0 else "neutral"
}
return json.dumps(result)
# create gradio interface
demo = gr.Interface(
fn=sentiment_analysis,
inputs=gr.Textbox(placeholder="Enter text to analyze..."),
outputs=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)