So much of AI is about compressing reality to a small vector space, like a video game in reverse.
To add WASM support to your Rust installation. Using Rustup:
rustup target install wasm32-unknown-unknown
Now, to run your project in the browser.
wasm-server-runner
The easiest and most automatic way to get started is the wasm-server-runner tool.
Install it:
cargo install wasm-server-runner
Set up cargo to use it, in .cargo/config.toml (in your project folder, or globally in your user home folder):
[target.wasm32-unknown-unknown]
runner = "wasm-server-runner"
Alternatively, you can also set the runner using an environment variable:
export CARGO_TARGET_WASM32_UNKNOWN_UNKNOWN_RUNNER=wasm-server-runner
Now you can just run your simulation with:
cargo run --target wasm32-unknown-unknown
It will automatically run a minimal local webserver and open your simulation in your browser.
trunk --config tools/sandbox/Trunk.toml serve
cargo run --release -p sandbox --features gif,gst
To get started with GStreamer in macOS, both the runtime and development packages, where they must be installed via the official GStreamer website: https://gstreamer.freedesktop.org/download/#macos
In addition to install GStreamer, also it’s necessary install GStreamer plugins via Homebrew:
brew install gst-plugins-base
brew install gst-plugins-rs
After installation, you also need to install pkg-config (e.g. via Homebrew) and set the PKG_CONFIG_PATH environment variable
export PKG_CONFIG_PATH="/Library/Frameworks/GStreamer.framework/Versions/1.0/lib/pkgconfig${PKG_CONFIG_PATH:+:$PKG_CONFIG_PATH}"
And finally run this command in the projects terminal
DYLD_LIBRARY_PATH=/Library/Frameworks/GStreamer.framework/Versions/1.0/lib cargo run --release -p sandbox --features gif,gst
Connect to a surreal db, or launch a local surreal repo:
cargo run --release -- start -u root -p root
SQL Repl
./target/release/surreal sql -e ws://127.0.0.1:8000 -u root -p root --ns default --db default --pretty