app.py

import gradio as gr
from textblob import TextBlob


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
    """
    blob = TextBlob(text)
    sentiment = blob.sentiment

    return {
        "polarity": round(sentiment.polarity, 2),  # -1 (negative) to 1 (positive)
        "subjectivity": round(
            sentiment.subjectivity, 2
        ),  # 0 (objective) to 1 (subjective)
        "assessment": (
            "positive"
            if sentiment.polarity > 0
            else "negative" if sentiment.polarity < 0 else "neutral"
        ),
    }


def add_two_number(a: int, b: int) -> int:
    """
    Add two numbers.

    Args:
        a (int): First number
        b (int): Second number

    Returns:
        int: The sum of the two numbers
    """
    return a + b


# Create the Gradio interface
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 text using TextBlob",
)

demo2 = gr.Interface(
    fn=add_two_number,
    inputs=[gr.Number(), gr.Number()],
    outputs=gr.Number(),
    title="Add Two Numbers",
    description="Add two numbers together",
)


app = gr.TabbedInterface(
    interface_list=[demo, demo2], tab_names=["Function 1", "Function 2"]
)

# Launch the interface and MCP server
if __name__ == "__main__":
    app.launch(mcp_server=True)