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| import gradio as gr | |
| from textblob import TextBlob | |
| def sentiment_analysis(text): | |
| """Perform sentiment analysis on the input text. | |
| Args: | |
| text (str): The input text to analyze. | |
| 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" | |
| } | |
| # Create the Gradio interface | |
| demo = gr.Interface( | |
| fn=sentiment_analysis, | |
| inputs=gr.Textbox(label="Enter text for sentiment analysis", placeholder="Type here..."), | |
| outputs=gr.JSON(), | |
| title="Sentiment Analysis App", | |
| description="This app performs sentiment analysis on the input text using TextBlob." | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(mcp_server=True) # Launch the Gradio app | |
| # The app will be accessible at http://localhost:7860 by default |