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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 given text | |
| Args: | |
| text (str): The input text to analyze. | |
| Returns: | |
| str: A JSON string containing polarity, subjectivity and assesment | |
| """ | |
| 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="This app analyzes the sentiment of the input text and returns the polarity, subjectivity, and overall assessment (Positive, Negative, or Neutral)." | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(mcp_server=True) |