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https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-20 21:23:06 +00:00
go : add wrapper for system info (#456)
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@ -25,6 +25,8 @@ func Process(model whisper.Model, path string, flags *Flags) error {
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return err
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}
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fmt.Printf("\n%s\n", context.SystemInfo())
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// Open the file
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fmt.Fprintf(flags.Output(), "Loading %q\n", path)
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fh, err := os.Open(path)
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@ -66,6 +66,11 @@ func (p *Params) Language() int {
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return int(C.whisper_lang_id(p.language))
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}
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// Threads available
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func (p *Params) Threads() int {
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return int(p.n_threads)
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}
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// Set number of threads to use
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func (p *Params) SetThreads(threads int) {
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p.n_threads = C.int(threads)
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@ -1,7 +1,9 @@
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package whisper
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import (
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"fmt"
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"io"
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"runtime"
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"strings"
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"time"
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@ -117,13 +119,22 @@ func (context *context) PrintTimings() {
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context.model.ctx.Whisper_print_timings()
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}
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// SystemInfo returns the system information
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func (context *context) SystemInfo() string {
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return fmt.Sprintf("system_info: n_threads = %d / %d | %s\n",
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context.params.Threads(),
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runtime.NumCPU(),
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whisper.Whisper_print_system_info(),
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)
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}
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// Use mel data at offset_ms to try and auto-detect the spoken language
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// Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first.
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// Returns the probabilities of all languages.
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func (context *context) WhisperLangAutoDetect(offset_ms int, n_threads int) ([]float32, error) {
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langProbs, err := context.model.ctx.Whisper_lang_auto_detect(offset_ms, n_threads)
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if err != nil {
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return nil, err
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return nil, err
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}
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return langProbs, nil
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}
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@ -61,8 +61,11 @@ type Context interface {
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IsLANG(Token, string) bool // Test for token associated with a specific language
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IsText(Token) bool // Test for text token
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// Timings
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PrintTimings()
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ResetTimings()
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SystemInfo() string
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}
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// Segment is the text result of a speech recognition.
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