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 the sentiment of the given text.
Args:
text (str): The input text to analyze.
Returns:
str: A JSON string containing polarity, subjectivity and assessment.
"""
blob = TextBlob(text)
sentiment = blob.sentiment
result = {
"polarity": round(sentiment.polarity, 2), # Polarity ranges from -1 (negative) to 1 (positive)
"subjectivity": round(sentiment.subjectivity, 2), # Subjectivity ranges from 0 (objective) to 1 (subjective)
"assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
}
return json.dumps(result)
# Create the Gradio interface
demo = gr.Interface(
fn=sentiment_analysis,
inputs=gr.Textbox(placeholder="Enter text to analyze sentiment..."),
outputs=gr.Textbox(), # change to gr.JSON() if you want structured output
title="Text Sentiment Analysis",
description="Analyze the sentiment of text using TextBlob."
)
# Launch the Gradio app and MCP server
if __name__ == "__main__":
demo.launch(mcp_server=True)