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import gradio as gr | |
from textblob import TextBlob | |
def sentiment_analysis(text: str) -> dict: | |
"""Analyze sentiment and return polarity/subjectivity/assessment.""" | |
pol = round(TextBlob(text).sentiment.polarity, 2) # [-1, 1] | |
subj = round(TextBlob(text).sentiment.subjectivity, 2) # [0, 1] | |
return { | |
"polarity": pol, | |
"subjectivity": subj, | |
"assessment": "positive" if pol > 0 else "negative" if pol < 0 else "neutral", | |
} | |
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", | |
) | |
if __name__ == "__main__": | |
demo.launch(mcp_server=True) # enables the MCP server alongside the UI | |