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* docs added * fix title * add marimo to docs.json --------- Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
74 lines
1.9 KiB
Plaintext
74 lines
1.9 KiB
Plaintext
---
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title: marimo
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---
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## Install
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Install [marimo](https://marimo.io). You can use `pip` or `uv` for this. You
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can also use `uv` to create a sandboxed environment for marimo by running:
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```
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uvx marimo edit --sandbox notebook.py
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```
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## Usage with Ollama
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1. In marimo, go to the user settings and go to the AI tab. From here
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you can find and configure Ollama as an AI provider. For local use you
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would typically point the base url to `http://localhost:11434/v1`.
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<div style={{ display: 'flex', justifyContent: 'center' }}>
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<img
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src="/images/marimo-settings.png"
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alt="Ollama settings in marimo"
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width="50%"
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/>
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</div>
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2. Once the AI provider is set up, you can turn on/off specific AI models you'd like to access.
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<div style={{ display: 'flex', justifyContent: 'center' }}>
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<img
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src="/images/marimo-models.png"
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alt="Selecting an Ollama model"
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width="50%"
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/>
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</div>
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3. You can also add a model to the list of available models by scrolling to the bottom and using the UI there.
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<div style={{ display: 'flex', justifyContent: 'center' }}>
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<img
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src="/images/marimo-add-model.png"
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alt="Adding a new Ollama model"
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width="50%"
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/>
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</div>
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4. Once configured, you can now use Ollama for AI chats in marimo.
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<div style={{ display: 'flex', justifyContent: 'center' }}>
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<img
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src="/images/marimo-chat.png"
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alt="Configure code completion"
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width="50%"
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/>
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</div>
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4. Alternatively, you can now use Ollama for **inline code completion** in marimo. This can be configured in the "AI Features" tab.
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<div style={{ display: 'flex', justifyContent: 'center' }}>
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<img
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src="/images/marimo-code-completion.png"
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alt="Configure code completion"
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width="50%"
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/>
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</div>
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## Connecting to ollama.com
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1. Sign in to ollama cloud via `ollama signin`
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2. In the ollama model settings add a model that ollama hosts, like `gpt-oss:120b`.
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3. You can now refer to this model in marimo!
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