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User Preferences and Setup Docs (#20)
* added message style command * docker setup scripts * reformat messageStyle.ts * fix: register unregister on deploy * add: messageStream preference * add: json config handler * update: messageCreate gets config * update: shifted chat to config callback * fix: naming conventions based on discord * update: setup in docs now * add: static docker ips * version increment * add: bot message for no config * fix: no config case * add: clarification for subnetting * update: version increment in lock file --------- Co-authored-by: JT2M0L3Y <jtsmoley@icloud.com>
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## Ollama Setup
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* Go to Ollama's [Linux download page](https://ollama.ai/download/linux) and run the simple curl command they provide. The command should be `curl https://ollama.ai/install.sh | sh`.
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* Now the the following commands in separate terminals to test out how it works!
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* In terminal 1 -> `ollama serve` to setup ollama
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* In terminal 2 -> `ollama run [model name]`, for example `ollama run llama2`
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* The models can vary as you can create your own model. You can also view ollama's [library](https://ollama.ai/library) of models.
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* If there are any issues running ollama because of missing LLMs, run `ollama pull [model name]` as it will pull the model if Ollama has it in their library.
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* This can also be done in [wsl](https://learn.microsoft.com/en-us/windows/wsl/install) for Windows machines.
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* You can now interact with the model you just ran (it might take a second to startup).
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* Response time varies with processing power!
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## To Run Locally (without Docker)
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* Run `npm install` to install the npm packages.
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* Ensure that your [.env](../.env.sample) file's `OLLAMA_IP` is `127.0.0.1` to work properly.
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* Now, you can run the bot by running `npm run client` which will build and run the decompiled typescript and run the setup for ollama.
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* **IMPORTANT**: This must be ran in the wsl/Linux instance to work properly! Using Command Prompt/Powershell/Git Bash/etc. will not work on Windows (at least in my experience).
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* Refer to the [resources](../README.md#resources) on what node version to use.
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* Open up a separate terminal/shell (you will need wsl for this if on windows) and run `ollama serve` to startup ollama.
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* If you do not have a model, you will need to run `ollama pull [model name]` in a separate terminal to get it.
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