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import gradio as gr | |
from textblob import TextBlob | |
def analyze_sentiment(text) -> dict: | |
""" | |
Analyze the sentiment of the input text. | |
Args: | |
text (str): The input text to analyze. | |
Returns: | |
dict: A dictionary containing the polarity, subjectivity, and assessment of the text. | |
""" | |
blob = TextBlob(text) | |
sentiment = blob.sentiment | |
return { | |
f"polarity: {round(sentiment.polarity, 2)}", | |
f"subjectivity: {round(sentiment.subjectivity, 2)}", | |
f"assessment: {'positive' if sentiment.polarity > 0 else 'negative' if sentiment.polarity < 0 else 'neutral'}" | |
} | |
demo = gr.Interface( | |
fn=analyze_sentiment, | |
inputs=gr.Textbox(label="Input Text", placeholder="Enter text to analyze sentiment..."), | |
outputs=gr.JSON(), | |
title="Sentiment Analysis with TextBlob", | |
description="This app analyzes the sentiment of the input text using TextBlob and returns the polarity, subjectivity, and assessment.", | |
) | |
if __name__ == "__main__": | |
demo.launch(mcp_server=True) |