mcp-sentiment / server.py
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import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text:str) -> dict:
"""
Analyze the sentiment of the given text.
Agrs:
text (str): The text to analyze.
Returns:
dict: A dictionary containing the sentiment analysis results.
"""
blob = TextBlob(text)
sentiment = blob.sentiment
return {
"polarity": round(sentiment.polarity, 2),
"subjectivity": round(sentiment.subjectivity, 2),
"assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
}
demo = gr.Interface(
fn=sentiment_analysis,
inputs=gr.Textbox(placeholder="Enter a text to analyze"),
outputs=gr.JSON(),
title="Text Sentiment Analysis",
description="Analyze the sentiment of text using TextBlob.",
)
if __name__ == "__main__":
demo.launch(mcp_server=True)