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import gradio as gr | |
from textblob import TextBlob | |
def sentiment_analysis(text: str) -> dict: | |
""" | |
Analyze the sentiment of a given text. | |
Args: | |
text (str): The input text to analyze. | |
Returns: | |
str: The sentiment of the text, either 'Positive', 'Negative', or 'Neutral'. | |
""" | |
blob = TextBlob(text) | |
sentiment = blob.sentiment | |
return { | |
"polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive) | |
"subjectivity": round( | |
sentiment.subjectivity, 2 | |
), # 0 (objective) to 1 (subjective) | |
"assessment": ( | |
"Positive" | |
if sentiment.polarity > 0 | |
else "Negative" if sentiment.polarity < 0 else "Neutral" | |
), | |
} | |
demo = gr.Interface( | |
fn=sentiment_analysis, | |
inputs=gr.Textbox(placeholder="Enter text to analyze sentiment..."), | |
outputs=gr.JSON(), | |
title="Sentiment Analysis", | |
description="Analyze the sentiment of a given text using TextBlob.", | |
) | |
if __name__ == "__main__": | |
demo.launch(mcp_server=True) | |