Spaces:
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title: Black-Jack AI-Coach | |
emoji: 👁 | |
colorFrom: gray | |
colorTo: pink | |
sdk: gradio | |
sdk_version: 5.39.0 | |
app_file: app.py | |
pinned: false | |
short_description: 21 Brain - Learn the optimal Black Jack Strategy | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
This interactive app simulates a hand of Blackjack, powered by a Deep Q-Network (DQN) trained to make optimal decisions. Each action is explained in plain English using an LLM (Mistral-7B via OpenRouter). | |
Features | |
Reinforcement Learning Agent: A DQN chooses to Hit or Stick based on current state. | |
LLM Explanation: Mistral-7B explains the model’s move via OpenRouter API. | |
Interactive Gradio UI: Play and understand Blackjack strategy in real-time. | |
Tech Stack | |
PyTorch for the trained DQN model | |
Gradio for the web UI | |
OpenRouter + Mistral-7B for action interpretation | |
dotenv for secure API key management | |
Usage | |
Clone the repo or deploy on Hugging Face Spaces. | |