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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 text to analyze | |
| Returns: | |
| str: A JSON string containing polarity, subjectivity, and assessment | |
| """ | |
| blob = TextBlob(text) | |
| sentiment = blob.sentiment | |
| result = { | |
| "polarity": round(sentiment.polarity, 2), # Polarity ranges from -1 (negative) to 1 (positive), | |
| "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(label="Enter text for sentiment analysis", placeholder="Type here..."), | |
| outputs = gr.Textbox(), | |
| title = "Sentiment Analysis with TextBlob", | |
| description = "This app uses TextBlob to perform sentiment analysis on the input text. It returns the polarity, subjectivity, and overall assessment of the sentiment.", | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(mcp_server= True ) |