mcp-sentiment / app.py
Diego Carpintero
update
f546dc6
import json
import gradio as gr
from textblob import TextBlob
def sentiment_analysis(txt: str) -> str:
"""
Analyzes the sentiment of a given text
Args:
text (str): The text to analyze
Returns:
str: A JSON string containing polarity, subjectivity, and assessment
"""
blob = TextBlob(txt)
sentiment = blob.sentiment
result = {
"polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
"subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
"assessment": "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="Sentiment Analysis",
description="Sentiment Analysis using TextBlob as an MCP Server"
)
if __name__ == "__main__":
demo.launch(mcp_server=True)