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| import gradio as gr | |
| import json | |
| from textblob import TextBlob | |
| def sentiment_analysis(text: str) -> str: | |
| """ | |
| Analyze the sentiment for the given text | |
| Args: text (str): The text to analyze | |
| Returns: | |
| str: A Json string containing polarity, subjectivity, and sentiment | |
| """ | |
| blob=TextBlob(text) | |
| sentiment=blob.sentiment | |
| result = { | |
| "polarity" : round(sentiment.polarity, 2), | |
| "subjectivity" : round(sentiment.subjectivity, 2), | |
| "sentiment" : "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity <0 else "neutral" | |
| } | |
| return json.dumps(result) | |
| #Create the Gradio interface | |
| demo=gr.Interface( | |
| fn=sentiment_analysis, | |
| inputs=gr.Textbox(lines=10, placeholder="Enter your text here..."), | |
| outputs=gr.Textbox(), | |
| title="Sentiment Analysis", | |
| description="Anlayzes the sentiment of the text using TextBlob" | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(mcp_server=True) | |