Spaces:
Sleeping
Sleeping
File size: 1,063 Bytes
80d690b ed61242 80d690b ed61242 80d690b ed61242 80d690b ed61242 80d690b ed61242 80d690b ed61242 80d690b ed61242 80d690b ed61242 80d690b ed61242 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
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": round(sentiment.polarity, 2),
"subjectivity": round(sentiment.subjectivity, 2),
"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 here...", label="Input Text"),
outputs=gr.JSON(label="Sentiment Analysis Result"),
title="Sentiment Analysis App",
description="This app performs sentiment analysis on the input text using TextBlob. It provides the polarity, subjectivity, and an assessment of the sentiment.",
)
if __name__ == "__main__":
demo.launch(mcp_server=True)
|