mcp-sentiment / app.py
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Update 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 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),
"subjectivity": round(sentiment.subjectivity, 2),
"assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
}
return json.dumps(result, indent=2)
# Create the Gradio interface
demo = gr.Interface(
fn=sentiment_analysis,
inputs=gr.Textbox(placeholder="Enter text to analyze..."),
outputs=gr.Textbox(),
title="Text Sentiment Analysis",
description="Analyze the sentiment of text using TextBlob"
)
# Launch with MCP server
if __name__ == "__main__":
demo.launch(
server_name="0.0.0.0",
server_port=7860,
mcp_server=True,
debug=True # 디버그 λͺ¨λ“œ ν™œμ„±ν™”
)