mcp-sentiment / app.py
Abhay
initial commit
4b7296d
import gradio as gr
from textblob import TextBlob
# Sentiment Analysis Function
def sentiment_analysis(text: str) -> dict:
"""
Analyze the sentiment of the given text.
Args:
text (str): The text to analyze
Returns:
dict: A dictionary containing polarity, subjectivity and assessment
"""
# Create a TextBlob object
blob = TextBlob(text)
# Get the sentiment
sentiment = blob.sentiment
# Return the sentiment as a dictionary
# Polarity ranges from -1 (very negative sentiment ) to 1 (very positive sentiment)
# Subjectivity ranges from 0 (completely factual/objective) to 1 (completely opinionated/subjective)
return {
"polarity": sentiment.polarity,
"subjectivity": sentiment.subjectivity,
"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 to analyze..."),
outputs=gr.JSON(),
title="Text Sentiment Analysis",
description="Analyze the sentiment of the input text using TextBlob.",
examples=[
["I love programming!"],
["This is the worst day ever."],
["It's okay, nothing special."]
]
)
if __name__ == "__main__":
demo.launch(mcp_server=True)