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feat(audio-transform): add LocalVQE backend, bidi gRPC RPC, Studio UI
Introduce a generic "audio transform" capability for any audio-in / audio-out
operation (echo cancellation, noise suppression, dereverberation, voice
conversion, etc.) and ship LocalVQE as the first backend implementation.
Backend protocol:
- Two new gRPC RPCs in backend.proto: unary AudioTransform for batch and
bidirectional AudioTransformStream for low-latency frame-by-frame use.
This is the first bidi stream in the proto; per-frame unary at LocalVQE's
16 ms hop would be RTT-bound. Wire it through pkg/grpc/{client,server,
embed,interface,base} with paired-channel ergonomics.
LocalVQE backend (backend/go/localvqe/):
- Go-Purego wrapper around upstream liblocalvqe.so. CMake builds the upstream
shared lib + its libggml-cpu-*.so runtime variants directly — no MODULE
wrapper needed because LocalVQE handles CPU feature selection internally
via GGML_BACKEND_DL.
- Sets GGML_NTHREADS from opts.Threads (or runtime.NumCPU()-1) — without it
LocalVQE runs single-threaded at ~1× realtime instead of the documented
~9.6×.
- Reference-length policy: zero-pad short refs, truncate long ones (the
trailing portion can't have leaked into a mic that wasn't recording).
- Ginkgo test suite (9 always-on specs + 2 model-gated).
HTTP layer:
- POST /audio/transformations (alias /audio/transform): multipart batch
endpoint, accepts audio + optional reference + params[*]=v form fields.
Persists inputs alongside the output in GeneratedContentDir/audio so the
React UI history can replay past (audio, reference, output) triples.
- GET /audio/transformations/stream: WebSocket bidi, 16 ms PCM frames
(interleaved stereo mic+ref in, mono out). JSON session.update envelope
for config; constants hoisted in core/schema/audio_transform.go.
- ffmpeg-based input normalisation to 16 kHz mono s16 WAV via the existing
utils.AudioToWav (with passthrough fast-path), so the user can upload any
format / rate without seeing the model's strict 16 kHz constraint.
- BackendTraceAudioTransform integration so /api/backend-traces and the
Traces UI light up with audio_snippet base64 and timing.
- Routes registered under routes/localai.go (LocalAI extension; OpenAI has
no /audio/transformations endpoint), traced via TraceMiddleware.
Auth + capability + importer:
- FLAG_AUDIO_TRANSFORM (model_config.go), FeatureAudioTransform (default-on,
in APIFeatures), three RouteFeatureRegistry rows.
- localvqe added to knownPrefOnlyBackends with modality "audio-transform".
- Gallery entry localvqe-v1-1.3m (sha256-pinned, hosted on
huggingface.co/LocalAI-io/LocalVQE).
React UI:
- New /app/transform page surfaced via a dedicated "Enhance" sidebar
section (sibling of Tools / Biometrics) — the page is enhancement, not
generation, so it lives outside Studio. Two AudioInput components
(Upload + Record tabs, drag-drop, mic capture).
- Echo-test button: records mic while playing the loaded reference through
the speakers — the mic naturally picks up speaker bleed, giving a real
(mic, ref) pair for AEC testing without leaving the UI.
- Reusable WaveformPlayer (canvas peaks + click-to-seek + audio controls)
and useAudioPeaks hook (shared module-scoped AudioContext to avoid
hitting browser context limits with three players on one page); migrated
TTS, Sound, Traces audio blocks to use it.
- Past runs saved in localStorage via useMediaHistory('audio-transform') —
the history entry stores all three URLs so clicking re-renders the full
triple, not just the output.
Build + e2e:
- 11 matrix entries removed from .github/workflows/backend.yml (CUDA, ROCm,
SYCL, Metal, L4T): upstream supports only CPU + Vulkan, so we ship those
two and let GPU-class hardware route through Vulkan in the gallery
capabilities map.
- tests-localvqe-grpc-transform job in test-extra.yml (gated on
detect-changes.outputs.localvqe).
- New audio_transform capability + 4 specs in tests/e2e-backends.
- Playwright spec suite in core/http/react-ui/e2e/audio-transform.spec.js
(8 specs covering tabs, file upload, multipart shape, history, errors).
Docs:
- New docs/content/features/audio-transform.md covering the (audio,
reference) mental model, batch + WebSocket wire formats, LocalVQE param
keys, and a YAML config example. Cross-links from text-to-audio and
audio-to-text feature pages.
Assisted-by: Claude:claude-opus-4-7 [Bash Read Edit Write Agent TaskCreate]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
176 lines
5.5 KiB
Go
176 lines
5.5 KiB
Go
package backend
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import (
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"context"
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"fmt"
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"io"
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"maps"
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"os"
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"path/filepath"
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"time"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/core/trace"
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"github.com/mudler/LocalAI/pkg/grpc"
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"github.com/mudler/LocalAI/pkg/grpc/proto"
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"github.com/mudler/LocalAI/pkg/model"
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"github.com/mudler/LocalAI/pkg/utils"
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)
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// AudioTransformOptions carries per-request tuning for the unary transform.
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type AudioTransformOptions struct {
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// Params is forwarded verbatim to the backend (e.g. LocalVQE reads
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// params["noise_gate"] / params["noise_gate_threshold_dbfs"]).
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Params map[string]string
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}
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// AudioTransformOutputs are the on-disk paths of the persisted artifacts —
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// the user-visible Dst plus copies of the inputs the backend actually saw.
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// Inputs are persisted because the React UI history needs to display past
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// runs, and rejecting them once the temp dir is cleaned up would defeat
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// the point.
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type AudioTransformOutputs struct {
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Dst string
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AudioPath string
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ReferencePath string
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}
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// ModelAudioTransform runs the unary AudioTransform RPC and returns the
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// generated output path plus the persisted input paths. `audioPath` is
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// required; `referencePath` is optional (empty => backend zero-fills the
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// reference channel).
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func ModelAudioTransform(
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audioPath, referencePath string,
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opts AudioTransformOptions,
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loader *model.ModelLoader,
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appConfig *config.ApplicationConfig,
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modelConfig config.ModelConfig,
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) (AudioTransformOutputs, *proto.AudioTransformResult, error) {
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mopts := ModelOptions(modelConfig, appConfig)
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transformModel, err := loader.Load(mopts...)
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if err != nil {
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recordModelLoadFailure(appConfig, modelConfig.Name, modelConfig.Backend, err, nil)
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return AudioTransformOutputs{}, nil, err
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}
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if transformModel == nil {
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return AudioTransformOutputs{}, nil, fmt.Errorf("could not load audio-transform model %q", modelConfig.Model)
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}
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audioDir := filepath.Join(appConfig.GeneratedContentDir, "audio")
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if err := os.MkdirAll(audioDir, 0750); err != nil {
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return AudioTransformOutputs{}, nil, fmt.Errorf("failed creating audio directory: %s", err)
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}
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dst := filepath.Join(audioDir, utils.GenerateUniqueFileName(audioDir, "transform", ".wav"))
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persistedAudio, err := persistAudioInput(audioPath, audioDir, "transform-input", ".wav")
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if err != nil {
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return AudioTransformOutputs{}, nil, fmt.Errorf("persist input audio: %w", err)
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}
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persistedRef := ""
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if referencePath != "" {
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persistedRef, err = persistAudioInput(referencePath, audioDir, "transform-ref", ".wav")
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if err != nil {
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return AudioTransformOutputs{}, nil, fmt.Errorf("persist reference: %w", err)
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}
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}
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var startTime time.Time
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if appConfig.EnableTracing {
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trace.InitBackendTracingIfEnabled(appConfig.TracingMaxItems)
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startTime = time.Now()
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}
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res, err := transformModel.AudioTransform(context.Background(), &proto.AudioTransformRequest{
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AudioPath: audioPath,
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ReferencePath: referencePath,
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Dst: dst,
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Params: opts.Params,
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})
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if appConfig.EnableTracing {
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errStr := ""
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if err != nil {
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errStr = err.Error()
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}
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data := map[string]any{
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"audio_path": audioPath,
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"reference_path": referencePath,
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"dst": dst,
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"params": opts.Params,
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}
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if err == nil && res != nil {
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data["sample_rate"] = res.SampleRate
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data["samples"] = res.Samples
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data["reference_provided"] = res.ReferenceProvided
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if snippet := trace.AudioSnippet(dst); snippet != nil {
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maps.Copy(data, snippet)
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}
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}
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trace.RecordBackendTrace(trace.BackendTrace{
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Timestamp: startTime,
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Duration: time.Since(startTime),
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Type: trace.BackendTraceAudioTransform,
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ModelName: modelConfig.Name,
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Backend: modelConfig.Backend,
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Summary: trace.TruncateString(filepath.Base(audioPath), 200),
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Error: errStr,
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Data: data,
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})
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}
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if err != nil {
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return AudioTransformOutputs{}, nil, err
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}
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return AudioTransformOutputs{
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Dst: dst,
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AudioPath: persistedAudio,
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ReferencePath: persistedRef,
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}, res, nil
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}
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// ModelAudioTransformStream opens the bidirectional AudioTransformStream RPC
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// and returns the underlying stream client. The caller is responsible for
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// sending the initial Config message, subsequent Frame messages, and for
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// calling CloseSend when input is done. The returned stream's Recv reports
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// EOF when the backend has finished emitting frames.
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func ModelAudioTransformStream(
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ctx context.Context,
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loader *model.ModelLoader,
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appConfig *config.ApplicationConfig,
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modelConfig config.ModelConfig,
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) (grpc.AudioTransformStreamClient, error) {
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mopts := ModelOptions(modelConfig, appConfig)
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transformModel, err := loader.Load(mopts...)
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if err != nil {
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recordModelLoadFailure(appConfig, modelConfig.Name, modelConfig.Backend, err, nil)
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return nil, err
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}
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if transformModel == nil {
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return nil, fmt.Errorf("could not load audio-transform model %q", modelConfig.Model)
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}
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return transformModel.AudioTransformStream(ctx)
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}
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// persistAudioInput copies a transient input file (typically a multipart
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// upload that lives in an os.TempDir slated for cleanup) into the long-lived
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// GeneratedContentDir under a unique name, so the React UI can replay it
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// from history.
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func persistAudioInput(srcPath, dir, prefix, ext string) (string, error) {
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src, err := os.Open(srcPath)
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if err != nil {
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return "", err
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}
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defer func() { _ = src.Close() }()
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dst := filepath.Join(dir, utils.GenerateUniqueFileName(dir, prefix, ext))
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out, err := os.Create(dst)
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if err != nil {
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return "", err
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}
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defer func() { _ = out.Close() }()
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if _, err := io.Copy(out, src); err != nil {
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return "", err
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}
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return dst, nil
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}
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