mcp-sentiment / app.py
PowerOfAPoint's picture
Added requirements.txt
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import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text: str) -> dict:
"""
Analyzes the sentiment of the given text using TextBlob
Args:
text (str): The text to analyze
Returns:
dict: A dictionary containing text polarity (from -1.0 = negative to 1.0 = positive), text subjectivity (from 0 = very objective to 1 = very subjective), and overall assessment
"""
blob = TextBlob(text)
sentiment = blob.sentiment
return {
"polarity": round(sentiment.polarity, 2),
"subjectivity": round(sentiment.subjectivity, 2),
"assessment": (
"positive"
if sentiment.polarity > 0.1
else "negative" if sentiment.polarity < -0.1 else "neutral"
),
}
demo = gr.Interface(
fn=sentiment_analysis,
inputs=gr.Textbox(placeholder="Enter text to analyze..."),
outputs=gr.JSON(),
title="MCP Text Sentiment Analysis Demo",
description="Analyze the sentiment of a text using TextBlob, on an MCP server",
)
if __name__ == "__main__":
demo.launch(mcp_server=True)