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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 | |