Deleted unnecessary files from ai_blackjack_game
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Madhu
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# AI Blackjack Game
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This is a simple blackjack game that uses an AI agents as Player and Dealer to play the game.
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### How to get Started?
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1. Clone the GitHub repository
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```bash
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git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
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cd ai_agent_tutorials/ai_blackjack_game
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```
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2. Install the required dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Get your OpenAI API Key
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- Sign up for an [OpenAI account](https://platform.openai.com/) (or the LLM provider of your choice) and obtain your API key.
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4. Run the Streamlit App
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```bash
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streamlit run ai_blackjack_agent.py
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```
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## Requirements
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- autogen
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- numpy
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- openai
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- streamlit
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import os
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import random
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from autogen import ConversableAgent
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# Function to get OpenAI API key from user input
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def get_openai_api_key():
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api_key = input("Please enter your OpenAI API key: ").strip()
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if not api_key:
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raise ValueError("API key cannot be empty.")
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return api_key
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# Set OpenAI API key as environment variable
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OPENAI_API_KEY = get_openai_api_key()
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# Initialize deck
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suits = ['Hearts', 'Diamonds', 'Clubs', 'Spades']
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ranks = ['2', '3', '4', '5', '6', '7', '8', '9', '10', 'J', 'Q', 'K', 'A']
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deck = [{'rank': rank, 'suit': suit} for suit in suits for rank in ranks]
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# Function to deal a card
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def deal_card(deck):
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return deck.pop()
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# Function to calculate hand value
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def calculate_hand_value(hand):
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value = 0
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aces = 0
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for card in hand:
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rank = card['rank']
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if rank in ['J', 'Q', 'K']:
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value += 10
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elif rank == 'A':
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value += 11
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aces += 1
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else:
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value += int(rank)
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while value > 21 and aces:
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value -= 10
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aces -= 1
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return value
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# Define the Player AI using AutoGen
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player_ai = ConversableAgent(
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"player_ai",
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system_message="""
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You are the Player AI in a game of Blackjack. Your goal is to maximize your winnings by making strategic decisions.
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- You will receive your current hand and the dealer's upcard.
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- Decide whether to 'Hit' or 'Stand'.
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- Respond with only 'H' for Hit or 'S' for Stand.
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""",
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llm_config={"config_list": [{"model": "gpt-4", "temperature": 0.2, "api_key": OPENAI_API_KEY}]},
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human_input_mode="NEVER",
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)
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# Define the Dealer AI using AutoGen
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dealer_ai = ConversableAgent(
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"dealer_ai",
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system_message="""
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You are the Dealer AI in a game of Blackjack. Follow these rules:
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- You will receive your current hand and the player's final hand value.
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- Decide whether to 'Hit' or 'Stand' based on the rules of Blackjack.
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- You must hit until your hand value is at least 17.
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- If your hand value exceeds 21, you bust.
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- Respond with only 'H' for Hit or 'S' for Stand.
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""",
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llm_config={"config_list": [{"model": "gpt-4", "temperature": 0.2, "api_key": OPENAI_API_KEY}]},
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human_input_mode="NEVER",
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)
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# Define the Judge AI using AutoGen
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judge_ai = ConversableAgent(
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"judge_ai",
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system_message="""
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You are the Judge AI in a game of Blackjack. You will be provided with the player's final hand and the dealer's final hand.
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Your job is to determine the winner based on the rules of Blackjack:
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Rules:
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- The player with the hand value closest to 21 without exceeding it wins.
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- If both players have the same hand value, it's a tie.
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- If both players bust (exceed 21), the dealer wins.
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Respond with:
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- "Player" if the player wins.
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- "Dealer" if the dealer wins.
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- "Tie" if it's a tie.
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""",
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llm_config={"config_list": [{"model": "gpt-4", "temperature": 0.2, "api_key": OPENAI_API_KEY}]},
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human_input_mode="NEVER",
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)
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# Function to play a game of Blackjack
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def play_blackjack(player_ai, dealer_ai, judge_ai, max_rounds=5):
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for round_number in range(1, max_rounds + 1):
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print(f"\n--- Round {round_number} ---")
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random.shuffle(deck)
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player_hand = [deal_card(deck), deal_card(deck)]
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dealer_hand = [deal_card(deck), deal_card(deck)]
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# Player's turn
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while True:
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player_value = calculate_hand_value(player_hand)
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dealer_upcard = dealer_hand[0]
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print(f"Player's Hand: {player_hand} (Value: {player_value})")
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print(f"Dealer's Upcard: {dealer_upcard}")
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# Player AI decides to Hit or Stand
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player_ai_message = f"Your current hand is {player_hand} (Value: {player_value}). Dealer's upcard is {dealer_upcard}. Do you want to Hit or Stand? (H/S)"
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player_decision = player_ai.initiate_chat(
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dealer_ai,
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message=player_ai_message,
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max_turns=1,
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)
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# Extract the Player AI's decision
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if player_decision not in ['H', 'S']:
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# Fallback decision if response is invalid
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player_decision = 'S'
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if player_decision == 'H': # Hit
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player_hand.append(deal_card(deck))
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print(f"Player draws: {player_hand[-1]}")
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player_value = calculate_hand_value(player_hand)
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if player_value > 21:
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print(f"Player Busts! Hand: {player_hand} (Value: {player_value})")
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break
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elif player_decision == 'S': # Stand
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print(f"Player stands with hand: {player_hand} (Value: {player_value})")
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break
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# Dealer's turn
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dealer_value = calculate_hand_value(dealer_hand)
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print(f"Dealer reveals hidden card: {dealer_hand[1]}")
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print(f"Dealer's Hand: {dealer_hand} (Value: {dealer_value})")
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while True:
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# Dealer AI decides to Hit or Stand
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dealer_ai_message = f"Your current hand is {dealer_hand} (Value: {dealer_value}). The player's final hand value is {player_value}. Do you want to Hit or Stand? (H/S)"
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dealer_decision = dealer_ai.initiate_chat(
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player_ai, # Communicating with the player AI
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message=dealer_ai_message,
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max_turns=1,
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)
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# Extract the Dealer AI's decision
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if dealer_decision not in ['H', 'S']:
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# Fallback decision if response is invalid
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dealer_decision = 'S'
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if dealer_decision == 'H':
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dealer_hand.append(deal_card(deck))
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dealer_value = calculate_hand_value(dealer_hand)
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print(f"Dealer draws: {dealer_hand[-1]}")
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if dealer_value > 21:
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print(f"Dealer Busts! Hand: {dealer_hand} (Value: {dealer_value})")
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break
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elif dealer_decision == 'S':
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print(f"Dealer stands with hand: {dealer_hand} (Value: {dealer_value})")
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break
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# Judge determines the winner
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judge_ai_message = f"Player's final hand: {player_hand} (Value: {player_value}). Dealer's final hand: {dealer_hand} (Value: {dealer_value}). Who wins?"
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winner = judge_ai.generate_reply(messages=[{"content": judge_ai_message, "role": "user"}])
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print(f"\n{winner} Wins!")
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# Run the game
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play_blackjack(player_ai, dealer_ai, judge_ai)
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@ -1,4 +0,0 @@
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autogen
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numpy
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openai
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streamlit
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