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docs/docs/getting-started/huggingface-spaces.mdx
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docs/docs/getting-started/huggingface-spaces.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 Admonition from "@theme/Admonition";
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# 🤗 HuggingFace Spaces
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Hugging Face provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow without any local installation required.
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The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) or [Langflow 1.0 Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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Remember to use a Chromium-based browser for the best experience. You'll be presented with the following screen:
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<ZoomableImage
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alt="Docusaurus themed image"
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sources={{
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light: "img/duplicate-space.png",
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dark: "img/duplicate-space.png",
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}}
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style={{ width: "100%", margin: "20px auto" }}
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/>
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From here, just name your Space, define the visibility (Public or Private), and click on `Duplicate Space` to start the installation process. When that is done, you'll be redirected to the Space's main page to start using Langflow right away!
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Once you get Langflow running, click on New Project in the top right corner of the screen. Langflow provides a range of example flows to help you get started.
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To quickly try one of them, open a starter example, set up your API keys and click ⚡ Run, on the bottom right corner of the canvas. This will open up Langflow's Interaction Panel with the chat console, text inputs, and outputs.
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docs/docs/getting-started/install.mdx
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docs/docs/getting-started/install.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 Admonition from "@theme/Admonition";
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# 📦 Install Langflow
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<Admonition type="info">
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Langflow v1.0 is also available in a [HuggingFace Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) if you'd rather try it out before installing locally.
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</Admonition>
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## Prerequisites
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Langflow requires the following programs installed on your system.
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* [Python 3.10](https://www.python.org/downloads/release/python-3100/)
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* [pip](https://pypi.org/project/pip/) or [pipx](https://pipx.pypa.io/stable/installation/)
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## Install Langflow
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To install Langflow:
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pip:
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```bash
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python -m pip install langflow -U
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```
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pipx:
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```bash
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pipx install langflow --python python3.10 --fetch-missing-python
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```
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Pipx can fetch the missing Python version for you with `--fetch-missing-python`, but you can also install the Python version manually.
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## Install Langflow pre-release
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Use `--force-reinstall` to ensure you have the latest version of Langflow and its dependencies.
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To install a pre-release version of Langflow:
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pip:
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```bash
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python -m pip install langflow --pre --force-reinstall
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```
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pipx:
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```bash
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pipx install langflow --python python3.10 --fetch-missing-python --pip-args="--pre --force-reinstall"
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```
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## Having a problem?
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If you encounter a problem, see [Possible Installation Issues](/migration/possible-installation-issues).
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To get help in the Langflow CLI:
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```bash
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python -m langflow --help
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```
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## ⛓️ Run Langflow
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1. To run Langflow, enter the following command.
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```bash
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python -m langflow run
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```
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2. Confirm that a local Langflow instance starts by visiting `http://127.0.0.1:7860` in your browser.
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```bash
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│ Welcome to ⛓ Langflow │
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│ │
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│ Access http://127.0.0.1:7860 │
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│ Collaborate, and contribute at our GitHub Repo 🚀 │
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```
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3. Continue on to the [Quickstart](./quickstart.mdx).
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docs/docs/getting-started/new-to-llms.mdx
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docs/docs/getting-started/new-to-llms.mdx
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# 📚 New to LLMs?
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Large Language Models, or LLMs, are part of an exciting new world in computing.
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We made Langflow for anyone to create with LLMs, and hope you'll feel comfortable installing Langflow and [getting started](./quickstart.mdx).
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If you want to learn more about LLMs, prompt engineering, and AI models, Langflow recommends [promptingguide.ai](https://promptingguide.ai), an open-source repository of prompt engineering content maintained by AI experts.
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PromptingGuide offers content for [beginners](https://www.promptingguide.ai/introduction/basics) and [experts](https://www.promptingguide.ai/techniques/cot), as well as the latest [research papers](https://www.promptingguide.ai/papers) and [test results](https://www.promptingguide.ai/research) fueling AI's progress.
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Wherever you are on your AI journey, it's helpful to keep Prompting Guide open in a tab.
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