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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) |