mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 08:12:00 +02:00
583e978a82
* feat: update PaLM icons * feat: add additional google models * POC: formatting inputs for Vertex AI streaming * refactor: move endpoints services outside of /routes dir to /services/Endpoints * refactor: shorten schemas import * refactor: rename PALM to GOOGLE * feat: make Google editable endpoint * feat: reusable Ask and Edit controllers based off Anthropic * chore: organize imports/logic * fix(parseConvo): include examples in googleSchema * fix: google only allows odd number of messages to be sent * fix: pass proxy to AnthropicClient * refactor: change `google` altName to `Google` * refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values * refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases) * feat: google support for maxTokensMap * feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient * feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain * chore(GoogleClient): remove comments, left before for reference in git history * docs: update google instructions (WIP) * docs(apis_and_tokens.md): add images to google instructions * docs: remove typo apis_and_tokens.md * Update apis_and_tokens.md * feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models * chore: update more PaLM references to Google * chore: move playwright out of workflows to avoid failing tests
91 lines
3.3 KiB
Markdown
91 lines
3.3 KiB
Markdown
# Hugging Face Deployment 🤗
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>#### ⚠️ Note - Some features are not supported by HuggingFace:
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>- Meilisearch
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>- Social Logins
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> #### ❗Also:
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>- You will have to create an online MongoDB Atlas Database to be able to properly deploy
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## Create and Configure your Database (Required)
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The first thing you need is to create a MongoDB Atlas Database and get your connection string.
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Follow the instructions in this document: [Online MongoDB Database](../install/mongodb.md)
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## Getting Started
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**1.** Login or Create an account on [Hugging Face](https://huggingface.co/)
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**2.** Visit [https://huggingface.co/spaces/LibreChat/LibreChat](https://huggingface.co/spaces/LibreChat/LibreChat) and click on `Duplicate this Space` to copy LibreChat into your profile
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**3.** Name your Space and Fill the `Secrets` and `Variables`
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>You can also decide here to make it public or private
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You will need to fill these values:
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| Secrets | Values |
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| --- | --- |
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| MONGO_URI | * use the string aquired in the previous step |
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| OPENAI_API_KEY | `user_provided` |
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| BINGAI_TOKEN | `user_provided` |
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| CHATGPT_TOKEN | `user_provided` |
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| ANTHROPIC_API_KEY | `user_provided` |
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| GOOGLE_KEY | `user_provided` |
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| CREDS_KEY | * see bellow |
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| CREDS_IV | * see bellow |
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| JWT_SECRET | * see bellow |
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| JWT_REFRESH_SECRET | * see bellow |
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> ⬆️ **Leave the value field blank for any endpoints that you wish to disable.**
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>⚠️ setting the API keys and token to `user_provided` allows you to provide them safely from the webUI
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>* For `CREDS_KEY`, `CREDS_IV` and `JWT_SECRET` use this tool: [https://replit.com/@daavila/crypto#index.js](https://replit.com/@daavila/crypto#index.js).
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>* Run the tool a second time and use the new `JWT_SECRET` value for the `JWT_REFRESH_SECRET`
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| Variables | Values |
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| --- | --- |
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| APP_TITLE | LibreChat |
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| ALLOW_REGISTRATION | true |
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## Deployment
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**1.** When you're done filling the `secrets` and `variables`, click `Duplicate Space` in the bottom of that window
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**2.** The project will now build, this will take a couple of minutes
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**3.** When ready, `Building` will change to `Running`
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And you will be able to access LibreChat!
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## Update
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To update LibreChat, simply select `Factory Reboot` from the ⚙️Settings menu
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## Conclusion
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You can now access it with from the current URL. If you want to access it without the Hugging Face overlay, you can modify this URL template with your info:
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`https://username-projectname.hf.space/`
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e.g. `https://cooluser-librechat.hf.space/`
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### 🎉 Congratulation, you've sucessfully deployed LibreChat on Hugging Face! 🤗
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