Spaces:
Sleeping
Sleeping
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, assessment, and subjectivity of the text. | |
""" | |
blob = TextBlob(text) | |
return { | |
"polarity": round(blob.sentiment.polarity, 2), | |
"subjectivity": round(blob.sentiment.subjectivity, 2), | |
"assessment": "Positive" if blob.sentiment.polarity > 0 else "Negative" if blob.sentiment.polarity < 0 else "Neutral" | |
} | |
dmeo = gr.Interface( | |
fn=sentiment_analysis, | |
inputs=gr.Textbox(label="Input Text", placeholder="Type your text here..."), | |
outputs=gr.JSON(), | |
title="Sentiment Analysis", | |
description="This tool performs sentiment analysis on the input text and returns the polarity, subjectivity, and overall assessment (Positive, Negative, or Neutral)." | |
) | |
if __name__ == "__main__": | |
dmeo.launch(mcp_server=True) | |