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examples/flowise/README.md
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examples/flowise/README.md
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# flowise
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Example of integration with [FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise).
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You can check a demo video in the Flowise PR: https://github.com/FlowiseAI/Flowise/pull/123
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## Run
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In this example LocalAI will download the gpt4all model and set it up as "gpt-3.5-turbo". See the `docker-compose.yaml`
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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/flowise
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# start with docker-compose
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docker-compose up --pull always
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```
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## Accessing flowise
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Open http://localhost:3000.
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examples/flowise/docker-compose.yaml
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examples/flowise/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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# As initially LocalAI will download the models defined in PRELOAD_MODELS
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# you might need to tweak the healthcheck values here according to your network connection.
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# Here we give a timespan of 20m to download all the required files.
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8080/readyz"]
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interval: 1m
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timeout: 20m
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retries: 20
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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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# You can preload different models here as well.
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# See: https://github.com/go-skynet/model-gallery
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- 'PRELOAD_MODELS=[{"url": "github:go-skynet/model-gallery/gpt4all-j.yaml", "name": "gpt-3.5-turbo"}]'
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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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flowise:
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depends_on:
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api:
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condition: service_healthy
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image: flowiseai/flowise
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ports:
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- 3000:3000
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volumes:
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- ~/.flowise:/root/.flowise
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command: /bin/sh -c "sleep 3; flowise start"
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