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Build Hangman Application Using DeepSeek-R1

Discover how to build an interactive Hangman game using the DeepSeek-R1 language model. Learn to integrate AI reasoning and user feedback through a Streamlit interface, enhancing your practical skills with DeepSeek-R1's API and game logic.

Hangman is a classic word-guessing game in which one player thinks of a word, and the other tries to guess it letter by letter within a limited number of attempts. This game challenges logical thinking, pattern recognition, and deduction skills, making it an excellent choice for evaluating the reasoning abilities of the model.

In this lesson, we will leverage DeepSeek-R1 to play Hangman and use Streamlit to create an interactive user interface (UI). The core functionalities of the game include:

  • User input: The user will provide the word and relevant hint as input to the model.

  • Game rules: The DeepSeek-R1 model begins guessing the word, one letter at a time, using its reasoning abilities and user feedback.

  • Loop: The model continues guessing until it wins or reaches six incorrect guesses.

This game will help us analyze how well the ...