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examples: keep old example around (#439)
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@ -22,6 +22,8 @@ This integration shows how to use LocalAI with [mckaywrigley/chatbot-ui](https:/
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[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/)
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[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/)
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There is also a separate example to show how to manually setup a model: [example](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui-manual/)
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### Flowise
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### Flowise
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_by [@mudler](https://github.com/mudler)_
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_by [@mudler](https://github.com/mudler)_
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48
examples/chatbot-ui-manual/README.md
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48
examples/chatbot-ui-manual/README.md
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# chatbot-ui
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Example of integration with [mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui).
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![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
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## Setup
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```bash
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# Clone LocalAI
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git clone https://github.com/go-skynet/LocalAI
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cd LocalAI/examples/chatbot-ui
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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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# start with docker-compose
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docker-compose up -d --pull always
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# or you can build the images with:
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# docker-compose up -d --build
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```
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## Pointing chatbot-ui to a separately managed LocalAI service
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If you want to use the [chatbot-ui example](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui) with an externally managed LocalAI service, you can alter the `docker-compose` file so that it looks like the below. You will notice the file is smaller, because we have removed the section that would normally start the LocalAI service. Take care to update the IP address (or FQDN) that the chatbot-ui service tries to access (marked `<<LOCALAI_IP>>` below):
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```
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version: '3.6'
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services:
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chatgpt:
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image: ghcr.io/mckaywrigley/chatbot-ui:main
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ports:
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- 3000:3000
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environment:
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- 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
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- 'OPENAI_API_HOST=http://<<LOCALAI_IP>>:8080'
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```
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Once you've edited the Dockerfile, you can start it with `docker compose up`, then browse to `http://localhost:3000`.
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## Accessing chatbot-ui
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Open http://localhost:3000 for the Web UI.
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examples/chatbot-ui-manual/docker-compose.yaml
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examples/chatbot-ui-manual/docker-compose.yaml
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version: '3.6'
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services:
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api:
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image: quay.io/go-skynet/local-ai:latest
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build:
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context: ../../
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dockerfile: Dockerfile
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ports:
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- 8080:8080
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environment:
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- DEBUG=true
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- MODELS_PATH=/models
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volumes:
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- ./models:/models:cached
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command: ["/usr/bin/local-ai" ]
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chatgpt:
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image: ghcr.io/mckaywrigley/chatbot-ui:main
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ports:
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- 3000:3000
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environment:
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- 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
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- 'OPENAI_API_HOST=http://api:8080'
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1
examples/chatbot-ui-manual/models/completion.tmpl
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{{.Input}}
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examples/chatbot-ui-manual/models/gpt-3.5-turbo.yaml
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examples/chatbot-ui-manual/models/gpt-3.5-turbo.yaml
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name: gpt-3.5-turbo
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parameters:
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model: ggml-gpt4all-j
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top_k: 80
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temperature: 0.2
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top_p: 0.7
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context_size: 1024
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stopwords:
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- "HUMAN:"
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- "GPT:"
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roles:
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user: " "
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system: " "
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template:
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completion: completion
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chat: gpt4all
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examples/chatbot-ui-manual/models/gpt4all.tmpl
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The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
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### Prompt:
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{{.Input}}
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### Response:
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