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docs: enhancements (#133)
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README.md
53
README.md
@ -152,27 +152,48 @@ Currently LocalAI comes as container images and can be used with docker or a con
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### Run LocalAI in Kubernetes
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LocalAI can be installed inside Kubernetes with helm.
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LocalAI can be installed inside Kubernetes with helm.
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<details>
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The local-ai Helm chart supports two options for the LocalAI server's models directory:
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1. Basic deployment with no persistent volume. You must manually update the Deployment to configure your own models directory.
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Install the chart with `.Values.deployment.volumes.enabled == false` and `.Values.dataVolume.enabled == false`.
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2. Advanced, two-phase deployment to provision the models directory using a DataVolume. Requires [Containerized Data Importer CDI](https://github.com/kubevirt/containerized-data-importer) to be pre-installed in your cluster.
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First, install the chart with `.Values.deployment.volumes.enabled == false` and `.Values.dataVolume.enabled == true`:
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1. Add the helm repo
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```bash
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helm install local-ai charts/local-ai -n local-ai --create-namespace
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helm repo add go-skynet https://go-skynet.github.io/helm-charts/
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```
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Wait for CDI to create an importer Pod for the DataVolume and for the importer pod to finish provisioning the model archive inside the PV.
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1. Create a values files with your settings:
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```bash
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cat <<EOF > values.yaml
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deployment:
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image: quay.io/go-skynet/local-ai:latest
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env:
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threads: 4
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contextSize: 1024
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modelsPath: "/models"
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# Optionally create a PVC, mount the PV to the LocalAI Deployment,
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# and download a model to prepopulate the models directory
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modelsVolume:
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enabled: true
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url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
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pvc:
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size: 6Gi
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accessModes:
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- ReadWriteOnce
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auth:
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# Optional value for HTTP basic access authentication header
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basic: "" # 'username:password' base64 encoded
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service:
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type: ClusterIP
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annotations: {}
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# If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
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# service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
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EOF
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```
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3. Install the helm chart:
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```bash
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helm repo update
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helm install local-ai go-skynet/local-ai -f values.yaml
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```
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Once the PV is provisioned and the importer Pod removed, set `.Values.deployment.volumes.enabled == true` and `.Values.dataVolume.enabled == false` and upgrade the chart:
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```bash
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helm upgrade local-ai -n local-ai charts/local-ai
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```
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This will update the local-ai Deployment to mount the PV that was provisioned by the DataVolume.
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Check out also the [helm chart repository on GitHub](https://github.com/go-skynet/helm-charts).
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</details>
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@ -8,15 +8,13 @@ git clone https://github.com/go-skynet/LocalAI
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cd LocalAI/examples/discord-bot
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git clone https://github.com/go-skynet/gpt-discord-bot.git
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# (optional) Checkout a specific LocalAI tag
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# git checkout -b build <TAG>
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# Download gpt4all-j to models/
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wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
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# Set the discord bot options
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# Set the discord bot options (see: https://github.com/go-skynet/gpt-discord-bot#setup)
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cp -rfv .env.example .env
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vim .env
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@ -24,5 +22,53 @@ vim .env
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docker-compose up -d --build
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```
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Note: see setup options here: https://github.com/go-skynet/gpt-discord-bot#setup
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Open up the URL in the console and give permission to the bot in your server. Start a thread with `/chat ..`
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## Kubernetes
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- install the local-ai chart first
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- change OPENAI_API_BASE to point to the API address and apply the discord-bot manifest:
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```yaml
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apiVersion: v1
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kind: Namespace
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metadata:
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name: discord-bot
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: localai
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namespace: discord-bot
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labels:
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app: localai
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spec:
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selector:
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matchLabels:
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app: localai
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replicas: 1
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template:
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metadata:
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labels:
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app: localai
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name: localai
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spec:
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containers:
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- name: localai-discord
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env:
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- name: OPENAI_API_KEY
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value: "x"
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- name: DISCORD_BOT_TOKEN
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value: ""
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- name: DISCORD_CLIENT_ID
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value: ""
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- name: OPENAI_API_BASE
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value: "http://local-ai.default.svc.cluster.local:8080"
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- name: ALLOWED_SERVER_IDS
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value: "xx"
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- name: SERVER_TO_MODERATION_CHANNEL
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value: "1:1"
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image: quay.io/go-skynet/gpt-discord-bot:main
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```
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command: ["/usr/bin/local-ai" ]
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bot:
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build:
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context: ./gpt-discord-bot
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dockerfile: Dockerfile
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image: quay.io/go-skynet/gpt-discord-bot:main
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env_file:
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- .env
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3
prompt-templates/wizardlm.tmpl
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3
prompt-templates/wizardlm.tmpl
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{{.Input}}
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### Response:
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