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**Description** This PR fixes #1038 Added Streamlit example and also updated readme for examples. **[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)** - [X] Yes, I signed my commits. <!-- Thank you for contributing to LocalAI! Contributing Conventions: 1. Include descriptive PR titles with [<component-name>] prepended. 2. Build and test your changes before submitting a PR. 3. Sign your commits By following the community's contribution conventions upfront, the review process will be accelerated and your PR merged more quickly. -->
55 lines
1.5 KiB
Markdown
55 lines
1.5 KiB
Markdown
## Streamlit bot
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This is an example to deploy a Streamlit bot with LocalAI instead of OpenAI. Instructions are for Windows.
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```bash
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# Install & run Git Bash
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# Clone LocalAI
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git clone https://github.com/go-skynet/LocalAI.git
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cd LocalAI
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# (optional) Checkout a specific LocalAI tag
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# git checkout -b build <TAG>
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# Use a template from the examples
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cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
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# (optional) Edit the .env file to set things like context size and threads
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# vim .env
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# Download model
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curl --progress-bar -C - -O https://gpt4all.io/models/ggml-gpt4all-j.bin > models/ggml-gpt4all-j.bin
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# Install & Run Docker Desktop for Windows
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https://www.docker.com/products/docker-desktop/
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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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# Now API is accessible at localhost:8080
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curl http://localhost:8080/v1/models
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# {"object":"list","data":[{"id":"ggml-gpt4all-j","object":"model"}]}
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curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
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"model": "ggml-gpt4all-j",
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"messages": [{"role": "user", "content": "How are you?"}],
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"temperature": 0.9
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}'
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# {"model":"ggml-gpt4all-j","choices":[{"message":{"role":"assistant","content":"I'm doing well, thanks. How about you?"}}]}
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cd examples/streamlit-bot
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install_requirements.bat
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# run the bot
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start_windows.bat
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# UI will be launched automatically (http://localhost:8501/) in browser.
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```
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