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# Summary of Changes * New UI to show preview of image uploads * ChatML message changes to support gpt-4o vision based responses on images * AWS S3 image uploads for persistent image context in conversations * Database changes to have `vision_enabled` option in server admin panel while configuring models * Render previously uploaded images in the chat history, show uploaded images for pending msgs * Pass the uploaded_image_url through to subqueries * Allow image to render upon first message from the homepage * Add rendering support for images to shared chat as well * Fix some UI/functionality bugs in the share page * Convert user attached images for chat to webp format before upload * Use placeholder to attached image for data source, response mode actors * Update all clients to call /api/chat as a POST instead of GET request * Fix copying chat messages with images to clipboard TLDR; Add vision support for openai models on Khoj via the web UI! --------- Co-authored-by: sabaimran <narmiabas@gmail.com> Co-authored-by: Debanjum Singh Solanky <debanjum@gmail.com>
Run it locally
Prerequisites
Install the runtime dependencies. This command should install all dev dependencies.
yarn install
Run the application
yarn start
Deploying the Electron App
Prerequisites
Install the ToDesktop CLI. Full documentation can be found here: https://www.npmjs.com/package/@todesktop/cli
yarn global add @todesktop/cli
Configure the todesktop.json file. Fill in the id based on the application ID.
Build
This will prompt you to login. It triggers builds for all platforms.
todesktop build
If you get an error saying the command is not found, make sure that your yarn global bin directory is in your PATH environment variable. You can find the location of the global bin directory by running yarn global bin. Add this line to your .bashrc or .zshrc file: export PATH="$PATH:$(yarn global bin)".