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Add tag cloud feature with k-means clustering and CUDA support

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Introduces an Explore view with a tag cloud that clusters image embeddings
using cosine k-means and labels clusters via vocabulary-nearest-neighbour
CLIP matching. Vocabulary embeddings are disk-cached (FNV hash-keyed) to
avoid redundant inference. Enables CUDA for candle dependencies and adds a
build.rs check that surfaces a clear error when the toolkit is missing.
This commit is contained in:
LyAhn
2026-04-06 12:43:44 +01:00
parent 35c1dafd65
commit 6c3fd449ce
11 changed files with 1248 additions and 37 deletions
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src-tauri/Cargo.toml
+3 -3
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@@ -39,8 +39,8 @@ log = "0.4"
ffmpeg-sidecar = "2.5.0"
xxhash-rust = { version = "0.8", features = ["xxh3"] }
sysinfo = "0.38.4"
candle-core = "0.10.2"
candle-nn = "0.10.2"
candle-transformers = "0.10.2"
candle-core = { version = "0.10.2", features = ["cuda"] }
candle-nn = { version = "0.10.2", features = ["cuda"] }
candle-transformers = { version = "0.10.2", features = ["cuda"] }
hf-hub = { version = "0.5.0", default-features = false, features = ["ureq", "native-tls"] }
tokenizers = "0.22.1"