add simple transcription with adapters
This commit is contained in:
LeonardoTrapani
@@ -181,7 +181,7 @@ func (p *pipeline) run(ctx context.Context) {
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}
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defer func() {
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if stopErr := t.Stop(); stopErr != nil {
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if stopErr := t.Stop(ctx); stopErr != nil {
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log.Printf("Pipeline: Error stopping transcriber: %v", stopErr)
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p.sendError("Transcription Error", "Failed to stop transcriber cleanly", stopErr)
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}
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@@ -231,15 +231,13 @@ func (p *pipeline) run(ctx context.Context) {
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// Wait for the recorder to fully stop and frameCh to be closed
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// The transcriber will process any remaining frames when frameCh closes
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log.Printf("Pipeline: Waiting for recording channel to close and final transcription to complete")
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// Drain the frameCh to ensure it's fully closed
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for range frameCh {
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// Continue draining until channel is closed
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}
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// Stop the transcriber to ensure all buffered audio is processed
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if err := t.Stop(); err != nil {
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if err := t.Stop(ctx); err != nil {
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log.Printf("Pipeline: Error stopping transcriber: %v", err)
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p.sendError("Transcription Error", "Failed to stop transcriber during injection", err)
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}
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@@ -0,0 +1,94 @@
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package transcriber
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import (
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"bytes"
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"context"
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"encoding/binary"
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"fmt"
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"log"
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"time"
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"github.com/sashabaranov/go-openai"
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)
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// OpenAIAdapter implements TranscriptionAdapter for OpenAI Whisper API
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type OpenAIAdapter struct {
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client *openai.Client
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config Config
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}
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func NewOpenAIAdapter(config Config) *OpenAIAdapter {
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client := openai.NewClient(config.APIKey)
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return &OpenAIAdapter{
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client: client,
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config: config,
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}
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}
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func (a *OpenAIAdapter) Transcribe(ctx context.Context, audioData []byte) (string, error) {
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if len(audioData) == 0 {
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return "", nil
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}
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// Convert raw PCM to WAV format
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wavData, err := a.convertToWAV(audioData)
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if err != nil {
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return "", fmt.Errorf("convert to WAV: %w", err)
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}
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// Create transcription request
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req := openai.AudioRequest{
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Model: a.config.Model,
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Reader: bytes.NewReader(wavData),
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FilePath: "audio.wav",
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Language: a.config.Language,
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}
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start := time.Now()
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resp, err := a.client.CreateTranscription(ctx, req)
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duration := time.Since(start)
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if err != nil {
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log.Printf("openai-adapter: API call failed after %v: %v", duration, err)
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return "", fmt.Errorf("openai transcription: %w", err)
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}
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log.Printf("openai-adapter: transcribed %d bytes in %v: %q", len(audioData), duration, resp.Text)
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return resp.Text, nil
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}
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// convertToWAV converts raw 16-bit PCM audio to WAV format
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func (a *OpenAIAdapter) convertToWAV(rawAudio []byte) ([]byte, error) {
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var buf bytes.Buffer
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const sampleRate = 16000
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const channels = 1
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const bitsPerSample = 16
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const byteRate = sampleRate * channels * bitsPerSample / 8
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const blockAlign = channels * bitsPerSample / 8
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dataSize := len(rawAudio)
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fileSize := 36 + dataSize
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// WAV header
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buf.WriteString("RIFF")
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binary.Write(&buf, binary.LittleEndian, uint32(fileSize))
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buf.WriteString("WAVE")
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// fmt chunk
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buf.WriteString("fmt ")
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binary.Write(&buf, binary.LittleEndian, uint32(16)) // fmt chunk size
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binary.Write(&buf, binary.LittleEndian, uint16(1)) // PCM format
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binary.Write(&buf, binary.LittleEndian, uint16(channels)) // number of channels
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binary.Write(&buf, binary.LittleEndian, uint32(sampleRate)) // sample rate
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binary.Write(&buf, binary.LittleEndian, uint32(byteRate)) // byte rate
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binary.Write(&buf, binary.LittleEndian, uint16(blockAlign)) // block align
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binary.Write(&buf, binary.LittleEndian, uint16(bitsPerSample)) // bits per sample
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// data chunk
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buf.WriteString("data")
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binary.Write(&buf, binary.LittleEndian, uint32(dataSize))
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buf.Write(rawAudio)
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return buf.Bytes(), nil
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}
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@@ -0,0 +1,31 @@
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package transcriber
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import (
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"context"
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"fmt"
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)
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// WhisperCppAdapter implements TranscriptionAdapter for local whisper.cpp
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type WhisperCppAdapter struct {
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config Config
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modelPath string
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}
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func NewWhisperCppAdapter(config Config) *WhisperCppAdapter {
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return &WhisperCppAdapter{
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config: config,
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// TODO: Configure model path based on config
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modelPath: "./models/ggml-base.en.bin",
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}
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}
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func (a *WhisperCppAdapter) Transcribe(ctx context.Context, audioData []byte) (string, error) {
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// TODO: Implement whisper.cpp transcription
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// This will involve:
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// 1. Writing audio data to a temporary file or pipe
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// 2. Calling whisper.cpp binary with appropriate flags
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// 3. Reading the transcription result
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// 4. Cleaning up temporary files
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return "", fmt.Errorf("whisper.cpp adapter not implemented yet")
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}
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@@ -1,304 +0,0 @@
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package transcriber
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import (
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"bytes"
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"context"
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"encoding/binary"
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"fmt"
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"log"
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"strings"
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"sync"
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"time"
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"github.com/leonardotrapani/hyprvoice/internal/recording"
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"github.com/sashabaranov/go-openai"
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)
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type OpenAITranscriber struct {
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client *openai.Client
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config Config
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buffer *audioBuffer
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cancel context.CancelFunc
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wg sync.WaitGroup
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mu sync.Mutex
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transcribing bool
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transcriptionMu sync.RWMutex
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transcriptionText strings.Builder
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}
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type audioBuffer struct {
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data []byte
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mu sync.Mutex
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lastAdd time.Time
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maxSize int
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}
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func NewOpenAITranscriber(config Config) *OpenAITranscriber {
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client := openai.NewClient(config.APIKey)
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buffer := &audioBuffer{
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data: make([]byte, 0, config.ChunkSize*2),
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maxSize: config.ChunkSize,
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}
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return &OpenAITranscriber{
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client: client,
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config: config,
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buffer: buffer,
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}
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}
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func (t *OpenAITranscriber) Start(ctx context.Context, frameCh <-chan recording.AudioFrame) (<-chan error, error) {
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t.mu.Lock()
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if t.transcribing {
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t.mu.Unlock()
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return nil, fmt.Errorf("transcriber: already transcribing")
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}
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t.transcribing = true
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t.mu.Unlock()
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transcribeCtx, cancel := context.WithCancel(ctx)
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t.cancel = cancel
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errCh := make(chan error, 1)
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t.wg.Add(1)
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go t.processFrames(transcribeCtx, frameCh, errCh)
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return errCh, nil
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}
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func (t *OpenAITranscriber) Stop() error {
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t.mu.Lock()
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if !t.transcribing {
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t.mu.Unlock()
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return nil
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}
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cancel := t.cancel
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t.mu.Unlock()
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if cancel != nil {
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cancel()
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}
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t.wg.Wait()
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// After stopping, ensure any remaining buffered audio is transcribed
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if t.buffer.hasData() {
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log.Printf("transcriber: processing remaining buffered audio on stop")
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ctx := context.Background()
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errCh := make(chan error, 1)
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t.transcribeBuffer(ctx, errCh)
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close(errCh)
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}
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return nil
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}
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func (t *OpenAITranscriber) GetTranscription() (string, error) {
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t.transcriptionMu.RLock()
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defer t.transcriptionMu.RUnlock()
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if t.transcriptionText.Len() == 0 {
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return "", nil
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}
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return t.transcriptionText.String(), nil
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}
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func (t *OpenAITranscriber) processFrames(ctx context.Context, frameCh <-chan recording.AudioFrame, errCh chan<- error) {
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defer func() {
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// Always process remaining buffer when shutting down
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if t.buffer.hasData() {
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log.Printf("transcriber: processing final buffered audio on shutdown")
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// Use background context for final transcription to avoid timeout
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finalCtx := context.Background()
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t.transcribeBuffer(finalCtx, errCh)
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}
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close(errCh)
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t.mu.Lock()
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t.transcribing = false
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t.cancel = nil
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t.mu.Unlock()
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t.wg.Done()
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}()
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ticker := time.NewTicker(t.config.BufferTime)
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defer ticker.Stop()
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for {
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select {
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case <-ctx.Done():
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log.Printf("transcriber: context cancelled, processing remaining frames")
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// Continue processing remaining frames from channel before stopping
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for {
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select {
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case frame, ok := <-frameCh:
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if !ok {
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log.Printf("transcriber: recording channel closed")
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return
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}
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t.buffer.addFrame(frame)
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default:
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// No more frames available, exit
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return
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}
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}
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case frame, ok := <-frameCh:
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if !ok {
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log.Printf("transcriber: recording channel closed, finishing with remaining buffer")
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return
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}
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t.buffer.addFrame(frame)
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case <-ticker.C:
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if t.buffer.shouldFlush(t.config.BufferTime) {
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t.transcribeBuffer(ctx, errCh)
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}
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}
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}
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}
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func (t *OpenAITranscriber) transcribeBuffer(ctx context.Context, errCh chan<- error) {
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audioData := t.buffer.flush()
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if len(audioData) == 0 {
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return
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}
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log.Printf("transcriber: sending %d bytes to OpenAI API", len(audioData))
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wavData, err := t.convertToWAV(audioData)
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if err != nil {
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log.Printf("transcriber: failed to convert audio to WAV: %v", err)
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select {
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case errCh <- fmt.Errorf("transcriber: convert to WAV: %w", err):
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default:
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}
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return
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}
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req := openai.AudioRequest{
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Model: t.config.Model,
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Reader: bytes.NewReader(wavData),
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FilePath: "audio.wav",
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Language: t.config.Language,
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}
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start := time.Now()
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resp, err := t.client.CreateTranscription(ctx, req)
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duration := time.Since(start)
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if err != nil {
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log.Printf("transcriber: API call failed after %v: %v", duration, err)
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select {
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case errCh <- fmt.Errorf("transcriber: transcription failed: %w", err):
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default:
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}
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return
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}
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if resp.Text != "" {
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log.Printf("transcriber: received result in %v: %q", duration, resp.Text)
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t.transcriptionMu.Lock()
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if t.transcriptionText.Len() > 0 {
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t.transcriptionText.WriteString(" ")
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}
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t.transcriptionText.WriteString(strings.TrimSpace(resp.Text))
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t.transcriptionMu.Unlock()
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} else {
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log.Printf("transcriber: received empty result after %v", duration)
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}
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}
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func (t *OpenAITranscriber) convertToWAV(rawAudio []byte) ([]byte, error) {
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var buf bytes.Buffer
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const sampleRate = 16000
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const channels = 1
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const bitsPerSample = 16
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const byteRate = sampleRate * channels * bitsPerSample / 8
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const blockAlign = channels * bitsPerSample / 8
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dataSize := len(rawAudio)
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fileSize := 36 + dataSize
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buf.WriteString("RIFF")
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binary.Write(&buf, binary.LittleEndian, uint32(fileSize))
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buf.WriteString("WAVE")
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buf.WriteString("fmt ")
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binary.Write(&buf, binary.LittleEndian, uint32(16))
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binary.Write(&buf, binary.LittleEndian, uint16(1))
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binary.Write(&buf, binary.LittleEndian, uint16(channels))
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binary.Write(&buf, binary.LittleEndian, uint32(sampleRate))
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binary.Write(&buf, binary.LittleEndian, uint32(byteRate))
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binary.Write(&buf, binary.LittleEndian, uint16(blockAlign))
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binary.Write(&buf, binary.LittleEndian, uint16(bitsPerSample))
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buf.WriteString("data")
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binary.Write(&buf, binary.LittleEndian, uint32(dataSize))
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buf.Write(rawAudio)
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return buf.Bytes(), nil
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}
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func (b *audioBuffer) addFrame(frame recording.AudioFrame) {
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b.mu.Lock()
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defer b.mu.Unlock()
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b.data = append(b.data, frame.Data...)
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b.lastAdd = frame.Timestamp
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if len(b.data) > b.maxSize*2 {
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b.data = b.data[len(b.data)-b.maxSize:]
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}
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}
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func (b *audioBuffer) flush() []byte {
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b.mu.Lock()
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defer b.mu.Unlock()
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if len(b.data) == 0 {
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return nil
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}
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result := make([]byte, len(b.data))
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copy(result, b.data)
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b.data = b.data[:0]
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return result
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}
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func (b *audioBuffer) hasData() bool {
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b.mu.Lock()
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defer b.mu.Unlock()
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return len(b.data) > 0
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}
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func (b *audioBuffer) shouldFlush(bufferTime time.Duration) bool {
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b.mu.Lock()
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defer b.mu.Unlock()
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if len(b.data) == 0 {
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return false
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}
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if len(b.data) >= b.maxSize {
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return true
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}
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return time.Since(b.lastAdd) >= bufferTime
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}
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func NewTranscriber(config Config) (Transcriber, error) {
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switch config.Provider {
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case "openai":
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if config.APIKey == "" {
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return nil, fmt.Errorf("OpenAI API key required")
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}
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return NewOpenAITranscriber(config), nil
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default:
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return nil, fmt.Errorf("unsupported provider: %s", config.Provider)
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}
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}
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@@ -0,0 +1,122 @@
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package transcriber
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import (
|
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"context"
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"fmt"
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"log"
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"sync"
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"github.com/leonardotrapani/hyprvoice/internal/recording"
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)
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// SimpleTranscriber collects all audio and transcribes when stopped
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type SimpleTranscriber struct {
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adapter TranscriptionAdapter
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config Config
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// Audio collection
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audioBuffer []byte
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bufferMu sync.Mutex
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// Control
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running bool
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wg sync.WaitGroup
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// Transcription result
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transcriptionMu sync.RWMutex
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transcriptionText string
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}
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func NewSimpleTranscriber(config Config, adapter TranscriptionAdapter) *SimpleTranscriber {
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return &SimpleTranscriber{
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adapter: adapter,
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config: config,
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}
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}
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func (t *SimpleTranscriber) Start(ctx context.Context, frameCh <-chan recording.AudioFrame) (<-chan error, error) {
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if t.running {
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return nil, fmt.Errorf("transcriber already running")
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}
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t.running = true
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errCh := make(chan error, 1)
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t.wg.Add(1)
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go t.collectAudio(ctx, frameCh, errCh)
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return errCh, nil
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}
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func (t *SimpleTranscriber) Stop(ctx context.Context) error {
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if !t.running {
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return nil
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}
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t.wg.Wait()
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t.running = false
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// Transcribe all collected audio using the passed context
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return t.transcribeAll(ctx)
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}
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func (t *SimpleTranscriber) GetTranscription() (string, error) {
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t.transcriptionMu.RLock()
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defer t.transcriptionMu.RUnlock()
|
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return t.transcriptionText, nil
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}
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|
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func (t *SimpleTranscriber) collectAudio(ctx context.Context, frameCh <-chan recording.AudioFrame, errCh chan<- error) {
|
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defer func() {
|
||||
close(errCh)
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||||
t.wg.Done()
|
||||
}()
|
||||
|
||||
for {
|
||||
select {
|
||||
case <-ctx.Done():
|
||||
log.Printf("transcriber: stopping audio collection")
|
||||
return
|
||||
|
||||
case frame, ok := <-frameCh:
|
||||
if !ok {
|
||||
log.Printf("transcriber: audio channel closed")
|
||||
return
|
||||
}
|
||||
|
||||
t.bufferMu.Lock()
|
||||
t.audioBuffer = append(t.audioBuffer, frame.Data...)
|
||||
t.bufferMu.Unlock()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func (t *SimpleTranscriber) transcribeAll(ctx context.Context) error {
|
||||
t.bufferMu.Lock()
|
||||
audioData := make([]byte, len(t.audioBuffer))
|
||||
copy(audioData, t.audioBuffer)
|
||||
t.bufferMu.Unlock()
|
||||
|
||||
if len(audioData) == 0 {
|
||||
log.Printf("transcriber: no audio data to transcribe")
|
||||
return nil
|
||||
}
|
||||
|
||||
log.Printf("transcriber: transcribing %d bytes of audio", len(audioData))
|
||||
|
||||
// Use the context passed from the pipeline for proper cancellation chain
|
||||
text, err := t.adapter.Transcribe(ctx, audioData)
|
||||
if err != nil {
|
||||
log.Printf("transcriber: transcription failed: %v", err)
|
||||
return fmt.Errorf("transcription failed: %w", err)
|
||||
}
|
||||
|
||||
log.Printf("transcriber: transcription completed: %q", text)
|
||||
|
||||
t.transcriptionMu.Lock()
|
||||
t.transcriptionText = text
|
||||
t.transcriptionMu.Unlock()
|
||||
|
||||
return nil
|
||||
}
|
||||
@@ -2,38 +2,60 @@ package transcriber
|
||||
|
||||
import (
|
||||
"context"
|
||||
"time"
|
||||
"fmt"
|
||||
|
||||
"github.com/leonardotrapani/hyprvoice/internal/recording"
|
||||
)
|
||||
|
||||
type TranscriptionResult struct {
|
||||
Text string
|
||||
Timestamp time.Time
|
||||
IsFinal bool
|
||||
}
|
||||
|
||||
// Main transcriber interface
|
||||
type Transcriber interface {
|
||||
Start(ctx context.Context, frameCh <-chan recording.AudioFrame) (<-chan error, error)
|
||||
Stop() error
|
||||
Stop(ctx context.Context) error
|
||||
GetTranscription() (string, error)
|
||||
}
|
||||
|
||||
// Adapter interface for different transcription backends
|
||||
type TranscriptionAdapter interface {
|
||||
Transcribe(ctx context.Context, audioData []byte) (string, error)
|
||||
}
|
||||
|
||||
// Configuration for the transcriber
|
||||
type Config struct {
|
||||
Provider string
|
||||
APIKey string
|
||||
Language string
|
||||
ChunkSize int
|
||||
BufferTime time.Duration
|
||||
Model string
|
||||
Provider string
|
||||
APIKey string
|
||||
Language string
|
||||
Model string
|
||||
}
|
||||
|
||||
func DefaultConfig() Config {
|
||||
return Config{
|
||||
Provider: "openai",
|
||||
Language: "it",
|
||||
ChunkSize: 16384,
|
||||
BufferTime: 2 * time.Second,
|
||||
Model: "whisper-1",
|
||||
Provider: "openai",
|
||||
Language: "it",
|
||||
Model: "whisper-1",
|
||||
}
|
||||
}
|
||||
|
||||
// NewTranscriber creates a new simple transcriber
|
||||
func NewTranscriber(config Config) (Transcriber, error) {
|
||||
// Create the appropriate adapter
|
||||
var adapter TranscriptionAdapter
|
||||
|
||||
switch config.Provider {
|
||||
case "openai":
|
||||
if config.APIKey == "" {
|
||||
return nil, fmt.Errorf("OpenAI API key required")
|
||||
}
|
||||
adapter = NewOpenAIAdapter(config)
|
||||
|
||||
case "whisper.cpp":
|
||||
adapter = NewWhisperCppAdapter(config)
|
||||
|
||||
default:
|
||||
return nil, fmt.Errorf("unsupported provider: %s", config.Provider)
|
||||
}
|
||||
|
||||
// Create simple transcriber that collects all audio
|
||||
transcriber := NewSimpleTranscriber(config, adapter)
|
||||
|
||||
return transcriber, nil
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user