POC: AI #65
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POC: AI #65
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Try this one-liner
Or you could use numpy.array_split for this, though I guess it's a little overkill and you need to convert them all back into strings later
| ], | ||
| stream=False | ||
| ) | ||
| return completion.choices[0].message.content |
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needs error handling pain (a try catch maybe)
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Will need to fix integration tests for this lol (monkeypatch away OpenAI)
| models = list_models() | ||
| await interaction.followup.send("\n".join(models)) | ||
| except Exception as e: | ||
| await interaction.followup.send(f"An error occurred: {e}") |
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ephemeral=True on error maybe
| guilds=guilds, | ||
| ) | ||
| @app_commands.describe(question="The question you want to ask the AI") | ||
| async def llm(interaction: discord.Interaction, question: str, model: str = ""): |
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- I think the list of models already be specified as discord
Choices - Provide a default one since users probably don't care/know the differences between each model
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Proof of concept of LLM implementation
Requires the following environment variables in
.env:You could use an OpenAI API key to test it
For use with Ollama models, refer to this. The bot deployment will be using a model deployed on my server