# Hugging face spaces needs an app.py file to build the space
# Hosted on https://huggingface.co/spaces/SurAyush/Sentiment-Ananlysis (git origin)

import gradio as gr
import json 
from textblob import TextBlob

# gradio function (proper docstring)
def analyze_sentiment(text: str) -> dict:
    """
    Analyze the sentiment of the input text.
    Args:
        text (str): The input text to analyze.
    Returns:
        str: A JSON string containing polarity, subjectivity, and assessment
    """

    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 = analyze_sentiment,
    inputs = gr.Textbox(label="Input Text", placeholder="Enter text to analyze sentiment..."),
    outputs = gr.JSON(label="Sentiment Analysis Result"),
    title="Text Sentiment Analysis",
    description="Analyze the sentiment of text using TextBlob"
)

if __name__ == "__main__":
    demo.launch(mcp_server=True)