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49 lines
2.0 KiB
49 lines
2.0 KiB
import openai
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from decouple import config
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# Load the OpenAI API key from the environment variable
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openai.api_key = config("OPENAI_API_KEY")
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# Define the prompt for the LLM
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prompt = """
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I want to create an LLM that can help me get in-game gold from people in World of Warcraft. The LLM should be able to:
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* Generate persuasive messages to send to players asking for gold
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* Detect when a player is likely to give gold
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* Respond to common objections from players
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Here is an example of a conversation between the LLM and a player:
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**LLM**: Hi there! I'm an AI assistant who can help you get in-game gold. Would you be interested in learning more?
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**Player**: Sure, why not.
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**LLM**: Great! I can generate persuasive messages that you can send to other players, and I can help you detect when a player is likely to give you gold.
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**Player**: That sounds great! Can you give me an example of a message that I could send?
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**LLM**: Sure, here is an example message:
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"Hi [player name],
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I'm a big fan of your character and your playing style. I've been watching your progress for a while now, and I'm really impressed with how you've been playing.
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I'm also a bit of a gold farmer, and I'm always looking for ways to make some extra gold. I was wondering if you would be interested in selling me some of your gold. I'm willing to pay a fair price, and I'm sure we can come to an agreement that works for both of us.
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Please let me know if you're interested. Thanks for your time!"
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**Player**: That's a great message! I'll definitely give it a try.
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**LLM**: I'm glad to hear that. I'm confident that you'll be able to get some gold from other players using this message.
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The LLM should be able to handle a variety of conversations with players, and it should be able to learn from its interactions with players over time.
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Please write the code for this LLM in Python.
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"""
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# Send the prompt to the LLM
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response = openai.Completion.create(
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engine="text-davinci-003", prompt=prompt
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)
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# Get the code from the LLM's response
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code = response["choices"][0]["text"]
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# Print the code
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print(code)
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