examples: keep old example around (#439)

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Ettore Di Giacinto 2023-05-30 18:34:43 +02:00 committed by GitHub
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@ -22,6 +22,8 @@ This integration shows how to use LocalAI with [mckaywrigley/chatbot-ui](https:/
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/) [Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/)
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/)
### Flowise ### Flowise
_by [@mudler](https://github.com/mudler)_ _by [@mudler](https://github.com/mudler)_

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# chatbot-ui
Example of integration with [mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui).
![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
## Setup
```bash
# Clone LocalAI
git clone https://github.com/go-skynet/LocalAI
cd LocalAI/examples/chatbot-ui
# (optional) Checkout a specific LocalAI tag
# git checkout -b build <TAG>
# Download gpt4all-j to models/
wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
# start with docker-compose
docker-compose up -d --pull always
# or you can build the images with:
# docker-compose up -d --build
```
## Pointing chatbot-ui to a separately managed LocalAI service
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):
```
version: '3.6'
services:
chatgpt:
image: ghcr.io/mckaywrigley/chatbot-ui:main
ports:
- 3000:3000
environment:
- 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
- 'OPENAI_API_HOST=http://<<LOCALAI_IP>>:8080'
```
Once you've edited the Dockerfile, you can start it with `docker compose up`, then browse to `http://localhost:3000`.
## Accessing chatbot-ui
Open http://localhost:3000 for the Web UI.

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version: '3.6'
services:
api:
image: quay.io/go-skynet/local-ai:latest
build:
context: ../../
dockerfile: Dockerfile
ports:
- 8080:8080
environment:
- DEBUG=true
- MODELS_PATH=/models
volumes:
- ./models:/models:cached
command: ["/usr/bin/local-ai" ]
chatgpt:
image: ghcr.io/mckaywrigley/chatbot-ui:main
ports:
- 3000:3000
environment:
- 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
- 'OPENAI_API_HOST=http://api:8080'

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{{.Input}}

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name: gpt-3.5-turbo
parameters:
model: ggml-gpt4all-j
top_k: 80
temperature: 0.2
top_p: 0.7
context_size: 1024
stopwords:
- "HUMAN:"
- "GPT:"
roles:
user: " "
system: " "
template:
completion: completion
chat: gpt4all

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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.
### Prompt:
{{.Input}}
### Response: