#python -m venv venv
#source venv/Scripts/activate - for windows path file
import gradio as gr
from textblob import TextBlob

#always use type hints, and provide Args: in order to help gradio
#generate mcp documentation

def sentiment_analysis(text: str) -> dict:
    """Analyse the sentiment of the given text
    
    Args:
        text (str): The text to analyse
    
    Returns:
        dict: A dictionary containing polarity, subjectivity and assessment
    """
    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 to analyse.."),
    outputs=gr.JSON(),
    title="Text Sentiment Analysis",
    description="Analyse the sentiment of text using TextBlob"
)

if __name__ == "__main__":
    demo.launch(mcp_server=True)
#need a write access token from hugging face in order to push to git, if you push to a gi repo rather than adding code in hugging face manually