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Create app.py
Browse filesAdded Space craft code
app.py
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from autogen import AssistantAgent, UserProxyAgent, config_list_from_json, GroupChat, GroupChatManager
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# Load the configuration for GPT-4 from a JSON file
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config_list_gpt4 = config_list_from_json(
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"OAI_CONFIG_LIST.json",
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filter_dict={
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"model": ["gpt-4-0613", "gpt-4-32k", "gpt-4", "gpt-4-0314"],
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},
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)
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# Define the GPT-4 configuration parameters
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gpt4_config = {
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"seed": 42,
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"temperature": 0,
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"config_list": config_list_gpt4,
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"request_timeout": 1200,
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}
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# Define the common working directory for all agents
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working_directory = "game_files"
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# Initialize the Player agent, responsible for providing gameplay feedback
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player = UserProxyAgent(
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name="Player",
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system_message="Player: Your role is to provide feedback on the gameplay. Collaborate with the Game Designer to ensure the game meets desired expectations.",
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code_execution_config={
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"work_dir": working_directory,
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"use_docker": False,
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"timeout": 120,
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"last_n_messages": 1,
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},
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)
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# Initialize the Game Designer agent, responsible for designing the game
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game_designer = AssistantAgent(
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name="Game_Designer",
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llm_config=gpt4_config,
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system_message="Game Designer: Design the space craft game, ensuring all minute details such as Game mechanics, Storytelling, Visual design, Game pacing,Graphics and audio,Player engagement, Development process,Market research are documented in 'game_design.txt'. Collaborate with the Player to align the design with feedback and expectations."
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)
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# Initialize the Programmer agent, responsible for coding the game
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programmer = AssistantAgent(
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name="Programmer",
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llm_config=gpt4_config,
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system_message="Programmer: Code the space craft game and save it in the working directory. For code execution, collaborate with the Code Executor. If feedback is needed, consult the Game Tester."
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)
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# Initialize the Game Tester agent, responsible for playtesting the game
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game_tester = UserProxyAgent(
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name="Game_Tester",
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system_message="Game Tester: Playtest the game and provide feedback on gameplay mechanics and provide best user experience. Report any bugs or glitches. Collaborate with the Programmer for any necessary adjustments.",
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code_execution_config={
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"work_dir": working_directory,
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"use_docker": False,
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"timeout": 120,
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"last_n_messages": 3,
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},
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human_input_mode="ALWAYS",
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)
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# Initialize the Code Executor agent, responsible for executing the game code
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code_executor = UserProxyAgent(
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name="Code_Executor",
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system_message="Code Executor: Execute the provided code from the Programmer in the designated environment. Report outcomes and potential issues. Ensure the code follows best practices and recommend enhancements to the Programmer.",
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code_execution_config={
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"work_dir": working_directory,
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"use_docker": False,
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"timeout": 120,
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"last_n_messages": 3,
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},
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human_input_mode="NEVER",
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)
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# Set up the group chat with all the agents
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groupchat = GroupChat(
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agents=[player, game_tester, game_designer, programmer, code_executor],
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messages=[],
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max_round=150
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)
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# Create a manager for the group chat using the GPT-4 configuration
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manager = GroupChatManager(groupchat=groupchat, llm_config=gpt4_config)
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# Start the conversation with the Player's message
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player.initiate_chat(
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manager,
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message="Let's design and implement a space craft game. I aim for it to be fun and challenging."
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)
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