Spaces:
Running
Running
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 input text to analyze. | |
Returns: | |
str: A JSON string containing polarity, subjectivity and assesment | |
""" | |
blob = TextBlob(text) | |
sentiment = blob.sentiment | |
result = { | |
"polarity": round(sentiment.polarity, 2), | |
"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(placeholder="Enter text to analyze..."), | |
outputs=gr.Textbox(), | |
title="Text Sentiment Analysis", | |
description="This app analyzes the sentiment of the input text and returns the polarity, subjectivity, and overall assessment (Positive, Negative, or Neutral)." | |
) | |
if __name__ == "__main__": | |
demo.launch(mcp_server=True) |