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I made the json parsing more forgivable. I improved the prompt, using things I learned from: Koobah/Auto-GPT
57 lines
2.4 KiB
Python
57 lines
2.4 KiB
Python
import yaml
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import data
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class AIConfig:
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def __init__(self, ai_name="", ai_role="", ai_goals=[]):
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self.ai_name = ai_name
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self.ai_role = ai_role
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self.ai_goals = ai_goals
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# @classmethod
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# def create_from_user_prompts(cls):
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# ai_name = input("Name your AI: ") or "Entrepreneur-GPT"
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# ai_role = input(f"{ai_name} is: ") or "an AI designed to autonomously develop and run businesses with the sole goal of increasing your net worth."
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# print("Enter up to 5 goals for your AI: ")
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# print("For example: \nIncrease net worth, Grow Twitter Account, Develop and manage multiple businesses autonomously'")
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# print("Enter nothing to load defaults, enter nothing when finished.")
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# ai_goals = []
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# for i in range(5):
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# ai_goal = input(f"Goal {i+1}: ")
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# if ai_goal == "":
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# break
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# ai_goals.append(ai_goal)
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# if len(ai_goals) == 0:
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# ai_goals = ["Increase net worth", "Grow Twitter Account", "Develop and manage multiple businesses autonomously"]
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# return cls(ai_name, ai_role, ai_goals)
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@classmethod
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def load(cls, config_file="config.yaml"):
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# Load variables from yaml file if it exists
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try:
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with open(config_file) as file:
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config_params = yaml.load(file, Loader=yaml.FullLoader)
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except FileNotFoundError:
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config_params = {}
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ai_name = config_params.get("ai_name", "")
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ai_role = config_params.get("ai_role", "")
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ai_goals = config_params.get("ai_goals", [])
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return cls(ai_name, ai_role, ai_goals)
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def save(self, config_file="config.yaml"):
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config = {"ai_name": self.ai_name, "ai_role": self.ai_role, "ai_goals": self.ai_goals}
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with open(config_file, "w") as file:
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documents = yaml.dump(config, file)
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def construct_full_prompt(self):
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prompt_start = """Your decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications."""
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# Construct full prompt
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full_prompt = f"You are {self.ai_name}, {self.ai_role}\n{prompt_start}\n\nGOALS:\n\n"
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for i, goal in enumerate(self.ai_goals):
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full_prompt += f"{i+1}. {goal}\n"
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full_prompt += f"\n\n{data.load_prompt()}"
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return full_prompt
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