| import gradio as gr | |
| from textblob import TextBlob | |
| def sentiment_analysis(text: str) -> dict: | |
| """ | |
| Analyze the sentiment of given text | |
| Args: | |
| text (str): the text to analyse | |
| Returns: | |
| dict: A dictionary containing polarity, subjectivity and assessment | |
| """ | |
| 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) |