app.py

import gradio as gr
from textblob import TextBlob

def sentiment_analysis(text: str) -> dict:
	"""
	Analyze the sentiment of the given text.
	
	Args:
		text (str): The text to analyze
		
	Return:
		dict: A dictionary containing polarity, subjectivity, and assessment
	"""
	blob = TextBlob(text)
	sentiment  = blob.sentiment
	
	return {
		"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"		
	}
	
#Create the Gradio interface
demo = gr.Interface(
	fn = sentiment_analysis,
	inputs = gr.Textbox(placeholder="Enter text to analyze..."),
	outputs = gr.JSON(),
	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)