Update HuggingFace Spaces URLs
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3 changed files with 7 additions and 7 deletions
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@ -15,7 +15,7 @@
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[](https://github.com/logspace-ai/langflow/fork)
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[](https://twitter.com/langflow_ai)
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[](https://discord.com/invite/EqksyE2EX9)
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[](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true)
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[](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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[](https://codespaces.new/logspace-ai/langflow)
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<a href="https://github.com/logspace-ai/langflow">
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@ -62,7 +62,7 @@ langflow run # or langflow --help
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### HuggingFace Spaces
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You can also check it out on HuggingFace Spaces and run it in your browser for free! [Click here to duplicate the Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true)
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You can also check it out on HuggingFace Spaces and run it in your browser for free! [Click here to duplicate the Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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# 🖥️ Command Line Interface (CLI)
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@ -2,7 +2,7 @@
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## TLDR;
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A fully featured version of Langflow can be accessed via [HuggingFace Spaces](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) with no installation required. All you gotta do is [duplicate the Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) and you'll have your own copy to play around with!
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A fully featured version of Langflow can be accessed via [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) with no installation required. All you gotta do is [duplicate the Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) and you'll have your own copy to play around with!
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---
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@ -10,7 +10,7 @@ A fully featured version of Langflow can be accessed via [HuggingFace Spaces](ht
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HuggingFace provides great support for running Langflow in their Spaces environment. This means you can run Langflow without any installation required.
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The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true).
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The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true).
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You'll be greeted with the following screen:
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@ -27,4 +27,4 @@ From here, you can rename your Space, define the visibility (Public or Private)
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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 ZoomableImage from "/src/theme/ZoomableImage.js";
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@ -19,7 +19,7 @@ In this guide, we will use Astra DB as a vector store to store and retrieve the
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TLDR;
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- [Create a free Astra DB account](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account)
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- Duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true)
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- Duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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- Create a new database, get a **Token** and the **API Endpoint**
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- Click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
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- Import the project into Langflow by dropping it on the Canvas or My Collection page
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@ -73,7 +73,7 @@ Now we are all set to start building our RAG application using Astra DB and Lang
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## (Optional) Duplicate the Langflow 1.0 HuggingFace Space
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If you haven't already, now is the time to launch Langflow. To make things easier, you can duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) which sets up a Langflow instance just for you.
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If you haven't already, now is the time to launch Langflow. To make things easier, you can duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) which sets up a Langflow instance just for you.
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## Open the Vector Store RAG Project
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