organized folders, added components tab, adjusted mendable style.
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docs/docs/getting-started/creating-flows.mdx
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docs/docs/getting-started/creating-flows.mdx
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import ThemedImage from '@theme/ThemedImage';
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import useBaseUrl from '@docusaurus/useBaseUrl';
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import ZoomableImage from '/src/theme/ZoomableImage.js';
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import ReactPlayer from 'react-player';
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# 🎨 Creating Flows
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## Compose
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Creating flows with LangFlow is easy. Drag sidebar components onto the canvas and connect them together to create your pipeline. LangFlow provides a range of [LangChain components](https://python.langchain.com/docs/modules/) to choose from, including LLMs, prompt serializers, agents, and chains.
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<ZoomableImage
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alt="Docusaurus themed image"
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sources={{
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light: 'img/langflow_canvas.png',
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}}
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/>
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## Fork
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The easiest way to start with LangFlow is by forking a **community example**. Forking an example stores a copy in your project collection, allowing you to edit and save the modified version as a new flow.
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<div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
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<ReactPlayer playing controls url='/videos/langflow_fork.mp4'
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/>
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</div>
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## Build
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Building a flow means validating if the components have prerequisites fulfilled and are properly instantiated. When a chat message is sent, the flow will run for the first time, executing the pipeline.
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<div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
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<ReactPlayer playing controls url='/videos/langflow_build.mp4'
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/>
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</div>
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docs/docs/getting-started/hugging-face-spaces.mdx
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docs/docs/getting-started/hugging-face-spaces.mdx
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# 🤗 HuggingFace Spaces
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A fully featured version of LangFlow can be accessed via HuggingFace spaces with no installation required.
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import ThemedImage from '@theme/ThemedImage';
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import useBaseUrl from '@docusaurus/useBaseUrl';
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import ZoomableImage from '/src/theme/ZoomableImage.js';
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<div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
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<ZoomableImage
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alt="Docusaurus themed image"
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sources={{
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light: 'img/hugging-face.png',
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}}
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/>
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</div>
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Check out LangFlow on [HuggingFace Spaces](https://huggingface.co/spaces/Logspace/LangFlow).
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docs/docs/getting-started/installation.md
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docs/docs/getting-started/installation.md
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# 📦 How to install?
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## Installation
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You can install LangFlow from pip:
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```bash
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pip install langflow
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```
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Next, run:
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```bash
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langflow
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```
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