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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 ) |