mcp-sentiment / app.py
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import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text):
"""Perform sentiment analysis on the input text.
Args:
text (str): The input text to analyze.
Returns:
dict: A dictionary containing polarity, subjectivity, and assessment
"""
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"
}
# Create the Gradio interface
demo = gr.Interface(
fn=sentiment_analysis,
inputs=gr.Textbox(label="Enter text for sentiment analysis", placeholder="Type here..."),
outputs=gr.JSON(),
title="Sentiment Analysis App",
description="This app performs sentiment analysis on the input text using TextBlob."
)
if __name__ == "__main__":
demo.launch(mcp_server=True) # Launch the Gradio app
# The app will be accessible at http://localhost:7860 by default