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| 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 | |
| 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 | |
| SetMaxContext(n int) // Set maximum number of text context tokens to store | |
| SetBeamSize(n int) // Set Beam Size | |
| SetEntropyThold(t float32) // Set Entropy threshold | |
| SetInitialPrompt(prompt string) // Set initial prompt | |
| // 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 | |
| } | |