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_factors(n: int) -> list[int]: """ Find all prime factors of input integer n Args: n (int): The integer to find all prime factors for Returns: list[int]: list of all integer prime factors of n """ factors = [] d = 2 while d * d <= n: while n % d == 0: factors.append(d) n //= d d += 1 if n > 1: factors.append(n) return factors # 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" ) # Launch the interface and MCP server if __name__ == "__main__": demo.launch(mcp_server=True)