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import gradio as gr | |
from textblob import TextBlob | |
def sentiment_analysis(text: str) -> dict: | |
""" | |
Perform sentiment analysis on the given text and return the sentiment label. | |
""" | |
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 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) | |