init
This commit is contained in:
28
whisper.cpp-1.5.2/bindings/go/pkg/whisper/consts.go
Normal file
28
whisper.cpp-1.5.2/bindings/go/pkg/whisper/consts.go
Normal file
@@ -0,0 +1,28 @@
|
||||
package whisper
|
||||
|
||||
import (
|
||||
"errors"
|
||||
|
||||
// Bindings
|
||||
whisper "github.com/ggerganov/whisper.cpp/bindings/go"
|
||||
)
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// ERRORS
|
||||
|
||||
var (
|
||||
ErrUnableToLoadModel = errors.New("unable to load model")
|
||||
ErrInternalAppError = errors.New("internal application error")
|
||||
ErrProcessingFailed = errors.New("processing failed")
|
||||
ErrUnsupportedLanguage = errors.New("unsupported language")
|
||||
ErrModelNotMultilingual = errors.New("model is not multilingual")
|
||||
)
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// CONSTANTS
|
||||
|
||||
// SampleRate is the sample rate of the audio data.
|
||||
const SampleRate = whisper.SampleRate
|
||||
|
||||
// SampleBits is the number of bytes per sample.
|
||||
const SampleBits = whisper.SampleBits
|
||||
316
whisper.cpp-1.5.2/bindings/go/pkg/whisper/context.go
Normal file
316
whisper.cpp-1.5.2/bindings/go/pkg/whisper/context.go
Normal file
@@ -0,0 +1,316 @@
|
||||
package whisper
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"io"
|
||||
"runtime"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
// Bindings
|
||||
whisper "github.com/ggerganov/whisper.cpp/bindings/go"
|
||||
)
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// TYPES
|
||||
|
||||
type context struct {
|
||||
n int
|
||||
model *model
|
||||
params whisper.Params
|
||||
}
|
||||
|
||||
// Make sure context adheres to the interface
|
||||
var _ Context = (*context)(nil)
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// LIFECYCLE
|
||||
|
||||
func newContext(model *model, params whisper.Params) (Context, error) {
|
||||
context := new(context)
|
||||
context.model = model
|
||||
context.params = params
|
||||
|
||||
// Return success
|
||||
return context, nil
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// PUBLIC METHODS
|
||||
|
||||
// Set the language to use for speech recognition.
|
||||
func (context *context) SetLanguage(lang string) error {
|
||||
if context.model.ctx == nil {
|
||||
return ErrInternalAppError
|
||||
}
|
||||
if !context.model.IsMultilingual() {
|
||||
return ErrModelNotMultilingual
|
||||
}
|
||||
|
||||
if lang == "auto" {
|
||||
context.params.SetLanguage(-1)
|
||||
} else if id := context.model.ctx.Whisper_lang_id(lang); id < 0 {
|
||||
return ErrUnsupportedLanguage
|
||||
} else if err := context.params.SetLanguage(id); err != nil {
|
||||
return err
|
||||
}
|
||||
// Return success
|
||||
return nil
|
||||
}
|
||||
|
||||
func (context *context) IsMultilingual() bool {
|
||||
return context.model.IsMultilingual()
|
||||
}
|
||||
|
||||
// Get language
|
||||
func (context *context) Language() string {
|
||||
id := context.params.Language()
|
||||
if id == -1 {
|
||||
return "auto"
|
||||
}
|
||||
return whisper.Whisper_lang_str(context.params.Language())
|
||||
}
|
||||
|
||||
// Set translate flag
|
||||
func (context *context) SetTranslate(v bool) {
|
||||
context.params.SetTranslate(v)
|
||||
}
|
||||
|
||||
// Set speedup flag
|
||||
func (context *context) SetSpeedup(v bool) {
|
||||
context.params.SetSpeedup(v)
|
||||
}
|
||||
|
||||
func (context *context) SetSplitOnWord(v bool) {
|
||||
context.params.SetSplitOnWord(v)
|
||||
}
|
||||
|
||||
// Set number of threads to use
|
||||
func (context *context) SetThreads(v uint) {
|
||||
context.params.SetThreads(int(v))
|
||||
}
|
||||
|
||||
// Set time offset
|
||||
func (context *context) SetOffset(v time.Duration) {
|
||||
context.params.SetOffset(int(v.Milliseconds()))
|
||||
}
|
||||
|
||||
// Set duration of audio to process
|
||||
func (context *context) SetDuration(v time.Duration) {
|
||||
context.params.SetDuration(int(v.Milliseconds()))
|
||||
}
|
||||
|
||||
// Set timestamp token probability threshold (~0.01)
|
||||
func (context *context) SetTokenThreshold(t float32) {
|
||||
context.params.SetTokenThreshold(t)
|
||||
}
|
||||
|
||||
// Set timestamp token sum probability threshold (~0.01)
|
||||
func (context *context) SetTokenSumThreshold(t float32) {
|
||||
context.params.SetTokenSumThreshold(t)
|
||||
}
|
||||
|
||||
// Set max segment length in characters
|
||||
func (context *context) SetMaxSegmentLength(n uint) {
|
||||
context.params.SetMaxSegmentLength(int(n))
|
||||
}
|
||||
|
||||
// Set token timestamps flag
|
||||
func (context *context) SetTokenTimestamps(b bool) {
|
||||
context.params.SetTokenTimestamps(b)
|
||||
}
|
||||
|
||||
// Set max tokens per segment (0 = no limit)
|
||||
func (context *context) SetMaxTokensPerSegment(n uint) {
|
||||
context.params.SetMaxTokensPerSegment(int(n))
|
||||
}
|
||||
|
||||
// Set audio encoder context
|
||||
func (context *context) SetAudioCtx(n uint) {
|
||||
context.params.SetAudioCtx(int(n))
|
||||
}
|
||||
|
||||
// ResetTimings resets the mode timings. Should be called before processing
|
||||
func (context *context) ResetTimings() {
|
||||
context.model.ctx.Whisper_reset_timings()
|
||||
}
|
||||
|
||||
// PrintTimings prints the model timings to stdout.
|
||||
func (context *context) PrintTimings() {
|
||||
context.model.ctx.Whisper_print_timings()
|
||||
}
|
||||
|
||||
// SystemInfo returns the system information
|
||||
func (context *context) SystemInfo() string {
|
||||
return fmt.Sprintf("system_info: n_threads = %d / %d | %s\n",
|
||||
context.params.Threads(),
|
||||
runtime.NumCPU(),
|
||||
whisper.Whisper_print_system_info(),
|
||||
)
|
||||
}
|
||||
|
||||
// Use mel data at offset_ms to try and auto-detect the spoken language
|
||||
// Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first.
|
||||
// Returns the probabilities of all languages.
|
||||
func (context *context) WhisperLangAutoDetect(offset_ms int, n_threads int) ([]float32, error) {
|
||||
langProbs, err := context.model.ctx.Whisper_lang_auto_detect(offset_ms, n_threads)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
return langProbs, nil
|
||||
}
|
||||
|
||||
// Process new sample data and return any errors
|
||||
func (context *context) Process(
|
||||
data []float32,
|
||||
callNewSegment SegmentCallback,
|
||||
callProgress ProgressCallback,
|
||||
) error {
|
||||
if context.model.ctx == nil {
|
||||
return ErrInternalAppError
|
||||
}
|
||||
// If the callback is defined then we force on single_segment mode
|
||||
if callNewSegment != nil {
|
||||
context.params.SetSingleSegment(true)
|
||||
}
|
||||
|
||||
// We don't do parallel processing at the moment
|
||||
processors := 0
|
||||
if processors > 1 {
|
||||
if err := context.model.ctx.Whisper_full_parallel(context.params, data, processors, nil, func(new int) {
|
||||
if callNewSegment != nil {
|
||||
num_segments := context.model.ctx.Whisper_full_n_segments()
|
||||
s0 := num_segments - new
|
||||
for i := s0; i < num_segments; i++ {
|
||||
callNewSegment(toSegment(context.model.ctx, i))
|
||||
}
|
||||
}
|
||||
}); err != nil {
|
||||
return err
|
||||
}
|
||||
} else if err := context.model.ctx.Whisper_full(context.params, data, nil, func(new int) {
|
||||
if callNewSegment != nil {
|
||||
num_segments := context.model.ctx.Whisper_full_n_segments()
|
||||
s0 := num_segments - new
|
||||
for i := s0; i < num_segments; i++ {
|
||||
callNewSegment(toSegment(context.model.ctx, i))
|
||||
}
|
||||
}
|
||||
}, func(progress int) {
|
||||
if callProgress != nil {
|
||||
callProgress(progress)
|
||||
}
|
||||
}); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
// Return success
|
||||
return nil
|
||||
}
|
||||
|
||||
// Return the next segment of tokens
|
||||
func (context *context) NextSegment() (Segment, error) {
|
||||
if context.model.ctx == nil {
|
||||
return Segment{}, ErrInternalAppError
|
||||
}
|
||||
if context.n >= context.model.ctx.Whisper_full_n_segments() {
|
||||
return Segment{}, io.EOF
|
||||
}
|
||||
|
||||
// Populate result
|
||||
result := toSegment(context.model.ctx, context.n)
|
||||
|
||||
// Increment the cursor
|
||||
context.n++
|
||||
|
||||
// Return success
|
||||
return result, nil
|
||||
}
|
||||
|
||||
// Test for text tokens
|
||||
func (context *context) IsText(t Token) bool {
|
||||
switch {
|
||||
case context.IsBEG(t):
|
||||
return false
|
||||
case context.IsSOT(t):
|
||||
return false
|
||||
case whisper.Token(t.Id) >= context.model.ctx.Whisper_token_eot():
|
||||
return false
|
||||
case context.IsPREV(t):
|
||||
return false
|
||||
case context.IsSOLM(t):
|
||||
return false
|
||||
case context.IsNOT(t):
|
||||
return false
|
||||
default:
|
||||
return true
|
||||
}
|
||||
}
|
||||
|
||||
// Test for "begin" token
|
||||
func (context *context) IsBEG(t Token) bool {
|
||||
return whisper.Token(t.Id) == context.model.ctx.Whisper_token_beg()
|
||||
}
|
||||
|
||||
// Test for "start of transcription" token
|
||||
func (context *context) IsSOT(t Token) bool {
|
||||
return whisper.Token(t.Id) == context.model.ctx.Whisper_token_sot()
|
||||
}
|
||||
|
||||
// Test for "end of transcription" token
|
||||
func (context *context) IsEOT(t Token) bool {
|
||||
return whisper.Token(t.Id) == context.model.ctx.Whisper_token_eot()
|
||||
}
|
||||
|
||||
// Test for "start of prev" token
|
||||
func (context *context) IsPREV(t Token) bool {
|
||||
return whisper.Token(t.Id) == context.model.ctx.Whisper_token_prev()
|
||||
}
|
||||
|
||||
// Test for "start of lm" token
|
||||
func (context *context) IsSOLM(t Token) bool {
|
||||
return whisper.Token(t.Id) == context.model.ctx.Whisper_token_solm()
|
||||
}
|
||||
|
||||
// Test for "No timestamps" token
|
||||
func (context *context) IsNOT(t Token) bool {
|
||||
return whisper.Token(t.Id) == context.model.ctx.Whisper_token_not()
|
||||
}
|
||||
|
||||
// Test for token associated with a specific language
|
||||
func (context *context) IsLANG(t Token, lang string) bool {
|
||||
if id := context.model.ctx.Whisper_lang_id(lang); id >= 0 {
|
||||
return whisper.Token(t.Id) == context.model.ctx.Whisper_token_lang(id)
|
||||
} else {
|
||||
return false
|
||||
}
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// PRIVATE METHODS
|
||||
|
||||
func toSegment(ctx *whisper.Context, n int) Segment {
|
||||
return Segment{
|
||||
Num: n,
|
||||
Text: strings.TrimSpace(ctx.Whisper_full_get_segment_text(n)),
|
||||
Start: time.Duration(ctx.Whisper_full_get_segment_t0(n)) * time.Millisecond * 10,
|
||||
End: time.Duration(ctx.Whisper_full_get_segment_t1(n)) * time.Millisecond * 10,
|
||||
Tokens: toTokens(ctx, n),
|
||||
}
|
||||
}
|
||||
|
||||
func toTokens(ctx *whisper.Context, n int) []Token {
|
||||
result := make([]Token, ctx.Whisper_full_n_tokens(n))
|
||||
for i := 0; i < len(result); i++ {
|
||||
data := ctx.Whisper_full_get_token_data(n, i)
|
||||
|
||||
result[i] = Token{
|
||||
Id: int(ctx.Whisper_full_get_token_id(n, i)),
|
||||
Text: ctx.Whisper_full_get_token_text(n, i),
|
||||
P: ctx.Whisper_full_get_token_p(n, i),
|
||||
Start: time.Duration(data.T0()) * time.Millisecond * 10,
|
||||
End: time.Duration(data.T1()) * time.Millisecond * 10,
|
||||
}
|
||||
}
|
||||
return result
|
||||
}
|
||||
55
whisper.cpp-1.5.2/bindings/go/pkg/whisper/context_test.go
Normal file
55
whisper.cpp-1.5.2/bindings/go/pkg/whisper/context_test.go
Normal file
@@ -0,0 +1,55 @@
|
||||
package whisper_test
|
||||
|
||||
import (
|
||||
"os"
|
||||
"testing"
|
||||
|
||||
// Packages
|
||||
whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
|
||||
assert "github.com/stretchr/testify/assert"
|
||||
)
|
||||
|
||||
const (
|
||||
ModelPath = "../../models/ggml-tiny.bin"
|
||||
SamplePath = "../../samples/jfk.wav"
|
||||
)
|
||||
|
||||
func Test_Whisper_000(t *testing.T) {
|
||||
assert := assert.New(t)
|
||||
if _, err := os.Stat(ModelPath); os.IsNotExist(err) {
|
||||
t.Skip("Skipping test, model not found:", ModelPath)
|
||||
}
|
||||
if _, err := os.Stat(SamplePath); os.IsNotExist(err) {
|
||||
t.Skip("Skipping test, sample not found:", SamplePath)
|
||||
}
|
||||
|
||||
// Load model
|
||||
model, err := whisper.New(ModelPath)
|
||||
assert.NoError(err)
|
||||
assert.NotNil(model)
|
||||
assert.NoError(model.Close())
|
||||
|
||||
t.Log("languages=", model.Languages())
|
||||
}
|
||||
|
||||
func Test_Whisper_001(t *testing.T) {
|
||||
assert := assert.New(t)
|
||||
if _, err := os.Stat(ModelPath); os.IsNotExist(err) {
|
||||
t.Skip("Skipping test, model not found:", ModelPath)
|
||||
}
|
||||
if _, err := os.Stat(SamplePath); os.IsNotExist(err) {
|
||||
t.Skip("Skipping test, sample not found:", SamplePath)
|
||||
}
|
||||
|
||||
// Load model
|
||||
model, err := whisper.New(ModelPath)
|
||||
assert.NoError(err)
|
||||
assert.NotNil(model)
|
||||
defer model.Close()
|
||||
|
||||
// Get context for decoding
|
||||
ctx, err := model.NewContext()
|
||||
assert.NoError(err)
|
||||
assert.NotNil(ctx)
|
||||
|
||||
}
|
||||
4
whisper.cpp-1.5.2/bindings/go/pkg/whisper/doc.go
Normal file
4
whisper.cpp-1.5.2/bindings/go/pkg/whisper/doc.go
Normal file
@@ -0,0 +1,4 @@
|
||||
/*
|
||||
This is the higher-level speech-to-text whisper.cpp API for go
|
||||
*/
|
||||
package whisper
|
||||
99
whisper.cpp-1.5.2/bindings/go/pkg/whisper/interface.go
Normal file
99
whisper.cpp-1.5.2/bindings/go/pkg/whisper/interface.go
Normal file
@@ -0,0 +1,99 @@
|
||||
package whisper
|
||||
|
||||
import (
|
||||
"io"
|
||||
"time"
|
||||
)
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// TYPES
|
||||
|
||||
// SegmentCallback is the callback function for processing segments in real
|
||||
// time. It is called during the Process function
|
||||
type SegmentCallback func(Segment)
|
||||
|
||||
// ProgressCallback is the callback function for reporting progress during
|
||||
// processing. It is called during the Process function
|
||||
type ProgressCallback func(int)
|
||||
|
||||
// Model is the interface to a whisper model. Create a new model with the
|
||||
// function whisper.New(string)
|
||||
type Model interface {
|
||||
io.Closer
|
||||
|
||||
// Return a new speech-to-text context.
|
||||
NewContext() (Context, error)
|
||||
|
||||
// Return true if the model is multilingual.
|
||||
IsMultilingual() bool
|
||||
|
||||
// Return all languages supported.
|
||||
Languages() []string
|
||||
}
|
||||
|
||||
// Context is the speach recognition context.
|
||||
type Context interface {
|
||||
SetLanguage(string) error // Set the language to use for speech recognition, use "auto" for auto detect language.
|
||||
SetTranslate(bool) // Set translate flag
|
||||
IsMultilingual() bool // Return true if the model is multilingual.
|
||||
Language() string // Get language
|
||||
|
||||
SetOffset(time.Duration) // Set offset
|
||||
SetDuration(time.Duration) // Set duration
|
||||
SetThreads(uint) // Set number of threads to use
|
||||
SetSpeedup(bool) // Set speedup flag
|
||||
SetSplitOnWord(bool) // Set split on word flag
|
||||
SetTokenThreshold(float32) // Set timestamp token probability threshold
|
||||
SetTokenSumThreshold(float32) // Set timestamp token sum probability threshold
|
||||
SetMaxSegmentLength(uint) // Set max segment length in characters
|
||||
SetTokenTimestamps(bool) // Set token timestamps flag
|
||||
SetMaxTokensPerSegment(uint) // Set max tokens per segment (0 = no limit)
|
||||
SetAudioCtx(uint) // Set audio encoder context
|
||||
|
||||
// Process mono audio data and return any errors.
|
||||
// If defined, newly generated segments are passed to the
|
||||
// callback function during processing.
|
||||
Process([]float32, SegmentCallback, ProgressCallback) error
|
||||
|
||||
// After process is called, return segments until the end of the stream
|
||||
// is reached, when io.EOF is returned.
|
||||
NextSegment() (Segment, error)
|
||||
|
||||
IsBEG(Token) bool // Test for "begin" token
|
||||
IsSOT(Token) bool // Test for "start of transcription" token
|
||||
IsEOT(Token) bool // Test for "end of transcription" token
|
||||
IsPREV(Token) bool // Test for "start of prev" token
|
||||
IsSOLM(Token) bool // Test for "start of lm" token
|
||||
IsNOT(Token) bool // Test for "No timestamps" token
|
||||
IsLANG(Token, string) bool // Test for token associated with a specific language
|
||||
IsText(Token) bool // Test for text token
|
||||
|
||||
// Timings
|
||||
PrintTimings()
|
||||
ResetTimings()
|
||||
|
||||
SystemInfo() string
|
||||
}
|
||||
|
||||
// Segment is the text result of a speech recognition.
|
||||
type Segment struct {
|
||||
// Segment Number
|
||||
Num int
|
||||
|
||||
// Time beginning and end timestamps for the segment.
|
||||
Start, End time.Duration
|
||||
|
||||
// The text of the segment.
|
||||
Text string
|
||||
|
||||
// The tokens of the segment.
|
||||
Tokens []Token
|
||||
}
|
||||
|
||||
// Token is a text or special token
|
||||
type Token struct {
|
||||
Id int
|
||||
Text string
|
||||
P float32
|
||||
Start, End time.Duration
|
||||
}
|
||||
101
whisper.cpp-1.5.2/bindings/go/pkg/whisper/model.go
Normal file
101
whisper.cpp-1.5.2/bindings/go/pkg/whisper/model.go
Normal file
@@ -0,0 +1,101 @@
|
||||
package whisper
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"os"
|
||||
"runtime"
|
||||
|
||||
// Bindings
|
||||
whisper "github.com/ggerganov/whisper.cpp/bindings/go"
|
||||
)
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// TYPES
|
||||
|
||||
type model struct {
|
||||
path string
|
||||
ctx *whisper.Context
|
||||
}
|
||||
|
||||
// Make sure model adheres to the interface
|
||||
var _ Model = (*model)(nil)
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// LIFECYCLE
|
||||
|
||||
func New(path string) (Model, error) {
|
||||
model := new(model)
|
||||
if _, err := os.Stat(path); err != nil {
|
||||
return nil, err
|
||||
} else if ctx := whisper.Whisper_init(path); ctx == nil {
|
||||
return nil, ErrUnableToLoadModel
|
||||
} else {
|
||||
model.ctx = ctx
|
||||
model.path = path
|
||||
}
|
||||
|
||||
// Return success
|
||||
return model, nil
|
||||
}
|
||||
|
||||
func (model *model) Close() error {
|
||||
if model.ctx != nil {
|
||||
model.ctx.Whisper_free()
|
||||
}
|
||||
|
||||
// Release resources
|
||||
model.ctx = nil
|
||||
|
||||
// Return success
|
||||
return nil
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// STRINGIFY
|
||||
|
||||
func (model *model) String() string {
|
||||
str := "<whisper.model"
|
||||
if model.ctx != nil {
|
||||
str += fmt.Sprintf(" model=%q", model.path)
|
||||
}
|
||||
return str + ">"
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// PUBLIC METHODS
|
||||
|
||||
// Return true if model is multilingual (language and translation options are supported)
|
||||
func (model *model) IsMultilingual() bool {
|
||||
return model.ctx.Whisper_is_multilingual() != 0
|
||||
}
|
||||
|
||||
// Return all recognized languages. Initially it is set to auto-detect
|
||||
func (model *model) Languages() []string {
|
||||
result := make([]string, 0, whisper.Whisper_lang_max_id())
|
||||
for i := 0; i < whisper.Whisper_lang_max_id(); i++ {
|
||||
str := whisper.Whisper_lang_str(i)
|
||||
if model.ctx.Whisper_lang_id(str) >= 0 {
|
||||
result = append(result, str)
|
||||
}
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
func (model *model) NewContext() (Context, error) {
|
||||
if model.ctx == nil {
|
||||
return nil, ErrInternalAppError
|
||||
}
|
||||
|
||||
// Create new context
|
||||
params := model.ctx.Whisper_full_default_params(whisper.SAMPLING_GREEDY)
|
||||
params.SetTranslate(false)
|
||||
params.SetPrintSpecial(false)
|
||||
params.SetPrintProgress(false)
|
||||
params.SetPrintRealtime(false)
|
||||
params.SetPrintTimestamps(false)
|
||||
params.SetThreads(runtime.NumCPU())
|
||||
params.SetNoContext(true)
|
||||
|
||||
// Return new context
|
||||
return newContext(model, params)
|
||||
}
|
||||
Reference in New Issue
Block a user