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| import json | |
| import gradio as gr | |
| from textblob import TextBlob | |
| def sentiment_analysis(txt: str) -> str: | |
| """ | |
| Analyzes the sentiment of a given text | |
| Args: | |
| text (str): The text to analyze | |
| Returns: | |
| str: A JSON string containing polarity, subjectivity, and assessment | |
| """ | |
| blob = TextBlob(txt) | |
| sentiment = blob.sentiment | |
| result = { | |
| "polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive) | |
| "subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective) | |
| "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral" | |
| } | |
| return json.dumps(result) | |
| demo = gr.Interface( | |
| fn=sentiment_analysis, | |
| inputs=gr.Textbox(placeholder="Enter text to analyze..."), | |
| outputs=gr.Textbox(), | |
| title="Sentiment Analysis", | |
| description="Sentiment Analysis using TextBlob as an MCP Server" | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(mcp_server=True) |