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 prime_factorization(n: int) -> dict:
    """
    Compute the prime factorization of a number.

    Args:
        n (int): Positive integer

    Returns:
        dict: Prime factors and their exponents (with string keys for JSON compatibility)
    """
    if n <= 0:
        return {"error": "Please enter a positive integer."}

    i = 2
    factors = {}
    while i * i <= n:
        while n % i == 0:
            factors[i] = factors.get(i, 0) + 1
            n //= i
        i += 1
    if n > 1:
        factors[n] = 1

    # Convert integer keys to strings
    str_factors = {str(k): v for k, v in factors.items()}

    return {"factors": str_factors}


# Define Gradio interfaces for each function
sentiment_interface = 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"
)

factorization_interface = gr.Interface(
    fn=prime_factorization,
    inputs=gr.Number(value=1, label="Number", precision=0),
    outputs=gr.JSON(),
    title="Prime Factorization",
    description="Compute the prime factorization of a number"
)

# Combine into a tabbed interface
demo = gr.TabbedInterface(
    interface_list=[sentiment_interface, factorization_interface],
    tab_names=["Sentiment Analysis", "Prime Factorization"]
)

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