| import gradio as gr |
| from textblob import TextBlob |
|
|
| def sentiment_analysis(text: str) -> dict: |
| """ |
| Perform sentiment analysis on the input text. |
| |
| Args: |
| text (str): The input text to analyze. |
| |
| Returns: |
| dict: A dictionary containing the polarity and subjectivity of the text. |
| """ |
| blob = TextBlob(text) |
| sentiment = blob.sentiment |
| |
| return { |
| "polarity": sentiment.polarity, |
| "subjectivity": sentiment.subjectivity, |
| "assessment": "Positive" if sentiment.polarity > 0 else "Negative" if sentiment.polarity < 0 else "Neutral" |
| } |
|
|
| demo = gr.Interface( |
| fn=sentiment_analysis, |
| inputs=gr.Textbox(label="Input Text", placeholder="Type your text here..."), |
| outputs=gr.JSON(), |
| title="Sentiment Analysis", |
| description="Analyze the sentiment of your text using TextBlob.", |
| theme="ocean", |
| ) |
|
|
| if __name__ == "__main__": |
| demo.launch(mcp_server=True) |
