mcp-sentiment / app.py
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import json
import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text: str) -> str:
"""
Analyze te sentiment of given text.
Args:
text(str): The text to analyze
Return:
str: A JSON string containing polarity, subjectivity, and assesstment
"""
blob = TextBlob(text)
sentiment = blob.sentiment
result = {
'polarity': round(sentiment.polarity, 2),
'subjectivity': round(sentiment.subjectivity, 2),
'assesstment': 'positive' if sentiment.polarity > 0 else 'negative' if sentiment.polarity < 0 else 'neutral'
}
return json.dumps(result)
demo = gr.Interface(
fn=sentiment_analysis,
inputs=gr.Textbox(placeholder="Enter text to analyze..."),
outputs=gr.Textbox(),
title="Text Sentiment Analysis",
description="Analysis the sentiment of text using TextBlob"
)
if __name__=="__main__":
demo.launch(mcp_server=True)