| import json | |
| import gradio as gr | |
| from textblob import TextBlob | |
| def sentiment_analysis(text:str)->str: | |
| """Analyze the sentiment of a given text | |
| Args: | |
| text(str):The text to analyze | |
| Return: | |
| str:A json string containing polarity,subjectivity and assessment""" | |
| blob=TextBlob(text) | |
| sentiment=blob.sentiment | |
| result={ | |
| "polarity":round(sentiment.polarity,2), | |
| "subjectivity":round(sentiment.subjectivity,2), | |
| "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="Text-sentiment-Analysis",description="Analyze the sentiment of text using TextBlob") | |
| if __name__=="__main__": | |
| demo.launch(mcp_server=True) | |