Black-Jack_AI-Coach / README.md
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A newer version of the Gradio SDK is available: 5.44.0

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metadata
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.