Merge pull request #14 from aidanperkins/main
Added the ability to pass the audio buffer to whisper directly instead of a filename. Also merged #12 and #13's changes.
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commit
75240c1e4f
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@ -1 +1 @@
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Subproject commit 1d716d6e34f3f4ba57bd9706a9258a0bdb008153
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Subproject commit 0a2d1210bcb98978214bbf4e100922a413afd39d
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@ -71,7 +71,8 @@ cdef extern from "whisper.h" nogil:
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whisper_encoder_begin_callback encoder_begin_callback
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void* encoder_begin_callback_user_data
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whisper_full_params whisper_full_default_params(whisper_sampling_strategy)
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cdef whisper_context* whisper_init(char*)
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cdef whisper_context* whisper_init_from_file(char*)
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cdef whisper_context* whisper_init_from_buffer(voidptr, int)
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cdef void whisper_free(whisper_context*)
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cdef int whisper_pcm_to_mel(whisper_context*, float*, int, int)
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cdef int whisper_set_mel(whisper_context*, float*, int, int)
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@ -16,7 +16,7 @@ cimport numpy as cnp
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cdef int SAMPLE_RATE = 16000
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cdef char* TEST_FILE = 'test.wav'
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cdef char* DEFAULT_MODEL = 'tiny'
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cdef char* LANGUAGE = b'fr'
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cdef char* LANGUAGE = b'en'
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cdef int N_THREADS = os.cpu_count()
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MODELS = {
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@ -84,21 +84,37 @@ cdef class Whisper:
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cdef whisper_context * ctx
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cdef whisper_full_params params
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def __init__(self, model=DEFAULT_MODEL, pb=None):
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model_fullname = f'ggml-{model}.bin'.encode('utf8')
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def __init__(self, model=DEFAULT_MODEL, pb=None, buf=None):
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model_fullname = f'ggml-{model}.bin'
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download_model(model_fullname)
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model_path = Path(MODELS_DIR).joinpath(model_fullname)
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cdef bytes model_b = str(model_path).encode('utf8')
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self.ctx = whisper_init(model_b)
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if buf is not None:
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self.ctx = whisper_init_from_buffer(buf, buf.size)
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else:
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self.ctx = whisper_init_from_file(model_b)
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self.params = default_params()
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whisper_print_system_info()
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def __dealloc__(self):
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whisper_free(self.ctx)
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def transcribe(self, filename=TEST_FILE):
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print("Loading data..")
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cdef cnp.ndarray[cnp.float32_t, ndim=1, mode="c"] frames = load_audio(<bytes>filename)
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if (type(filename) == np.ndarray) :
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temp = filename
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elif (type(filename) == str) :
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temp = load_audio(<bytes>filename)
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else :
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temp = load_audio(<bytes>TEST_FILE)
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cdef cnp.ndarray[cnp.float32_t, ndim=1, mode="c"] frames = temp
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print("Transcribing..")
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return whisper_full(self.ctx, self.params, &frames[0], len(frames))
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