[Docs] How to contribute components (#1838)
Document how to contribute components to Langflow.
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docs/docs/contributing/contribute-component.md
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docs/docs/contributing/contribute-component.md
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import ZoomableImage from "/src/theme/ZoomableImage.js";
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# How to contribute components?
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As of Langflow 1.0 alpha, new components are added as objects of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class and any dependencies are added to the [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file.
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## Add an example component
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You have a new document loader called **MyCustomDocumentLoader** and it would look awesome in Langflow.
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1. Write your loader as an object of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class. You'll create a new class, `MyCustomDocumentLoader`, that will inherit from `CustomComponent` and override the base class's methods.
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2. Define optional attributes like `display_name`, `description`, and `documentation` to provide information about your custom component.
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3. Implement the `build_config` method to define the configuration options for your custom component.
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4. Implement the `build` method to define the logic for taking input parameters specified in the `build_config` method and returning the desired output.
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5. Add the code to the [/components/documentloaders](https://github.com/langflow-ai/langflow/tree/dev/src/backend/base/langflow/components) folder.
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6. Add the dependency to [/documentloaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomDocumentLoader import MyCustomDocumentLoader`.
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7. Add any new dependencies to the outer [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file.
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8. Submit documentation for your component. For this example, you'd submit documentation to the [loaders page](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/components/loaders.mdx).
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8. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow.
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## User Sharing
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You might want to share and test your custom component with others, but don't need it merged into the main source code.
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If so, you can share your component on the Langflow store.
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1. [Register at the Langflow store](https://www.langflow.store/login/).
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2. Undergo pre-validation before receiving an API key.
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3. To deploy your amazing component directly to the Langflow store, without it being merged into the main source code, navigate to your flow, and then click **Share**.
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The share window appears:
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<ZoomableImage
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alt="Docusaurus themed image"
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sources={{
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light: "img/add-component-to-store.png",
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dark: "img/add-component-to-store.png",
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}}
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style={{ width: "50%", margin: "20px auto" }}
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/>
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5. Choose whether you want to flow to be public or private.
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You can also **Export** your flow as a JSON file from this window.
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When you're ready to share the flow, click **Share Flow**.
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You should see a **Flow shared successfully** popup.
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6. To confirm, navigate to the **Langflow Store** and filter results by **Created By Me**. You should see your new flow on the **Langflow Store**.
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@ -129,7 +129,8 @@ module.exports = {
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items: [
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"contributing/how-contribute",
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"contributing/github-issues",
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"contributing/community"
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"contributing/community",
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"contributing/contribute-component"
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],
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},
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],
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