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 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) ,
"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(label="Enter text for sentiment analysis", placeholder="Type here..."),
outputs = gr.Textbox(),
title = "Sentiment Analysis with TextBlob",
description = "This app uses TextBlob to perform sentiment analysis on the input text. It returns the polarity, subjectivity, and overall assessment of the sentiment.",
)
if __name__ == "__main__":
demo.launch(mcp_server= True )