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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 text | |
| Args: | |
| text: The text to analyze | |
| Returns: | |
| A JSON String containing polarity, subjectivity, and assessment | |
| """ | |
| blob = TextBlob(text) | |
| return json.dumps({ | |
| "polarity": round(blob.sentiment.polarity, 2), | |
| "subjectivity": round(blob.sentiment.subjectivity, 2), | |
| "assessment": "positive" if blob.sentiment.polarity >0 else "negative" if blob.sentiment.polarity <0 else "neutral" | |
| }) | |
| demo = gr.Interface( | |
| fn=sentiment_analysis, | |
| inputs=gr.Textbox(placeholder="Enter your text to analyze"), | |
| outputs=gr.Textbox(label="Sentiment Analysis"), | |
| title="Sentiment Analysis", | |
| description="Analyze the sentiment of the text" | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(mcp_server=True) |