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In-memory audio input mode #65

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In-memory audio input mode #65

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9 changes: 6 additions & 3 deletions whisper_s2t/backends/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,8 @@ def __init__(self,
max_speech_len=29.0,
max_text_token_len=MAX_TEXT_TOKEN_LENGTH,
without_timestamps=True,
speech_segmenter_options={}):
speech_segmenter_options={},
file_io=True):

# Configure Params
self.device = device
Expand All @@ -73,6 +74,7 @@ def __init__(self,
tokenizer = NoneTokenizer()

self.tokenizer = tokenizer
self.file_io = file_io

self._init_dependables()

Expand All @@ -96,7 +98,8 @@ def _init_dependables(self):
max_speech_len=self.max_speech_len,
max_initial_prompt_len=self.max_initial_prompt_len,
use_dynamic_time_axis=self.use_dynamic_time_axis,
merge_chunks=self.merge_chunks
merge_chunks=self.merge_chunks,
file_io=self.file_io
)

def update_params(self, params={}):
Expand Down Expand Up @@ -181,4 +184,4 @@ def transcribe_with_vad(self, audio_files, lang_codes=None, tasks=None, initial_

pbar.update(pbar.total-pbar_pos)

return responses
return responses
11 changes: 6 additions & 5 deletions whisper_s2t/data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -120,15 +120,15 @@ def __getitem__(self, item):

return audio, prompt, initial_prompt_tokens, seq_len


class WhisperDataLoader:
def __init__(self, device, tokenizer, speech_segmenter,
dta_padding=3.0,
without_timestamps=True,
max_speech_len=29.0,
max_initial_prompt_len=223,
merge_chunks=True,
use_dynamic_time_axis=False):
use_dynamic_time_axis=False,
file_io=True):

self.device = device
self.tokenizer = tokenizer
Expand All @@ -140,6 +140,7 @@ def __init__(self, device, tokenizer, speech_segmenter,
self.max_initial_prompt_len = max_initial_prompt_len
self.use_dynamic_time_axis = use_dynamic_time_axis
self.merge_chunks = merge_chunks
self.audio_gen = audio_batch_generator if file_io else lambda x: x

def data_collate_fn(self, batch):
if self.use_dynamic_time_axis:
Expand Down Expand Up @@ -209,7 +210,7 @@ def get_data_loader_with_vad(self, audio_files, lang_codes, tasks, initial_promp

segmented_audio_signal = []
pbar_update_len = {}
for file_id, (audio_signal, lang, task, initial_prompt) in enumerate(zip(audio_batch_generator(audio_files), lang_codes, tasks, initial_prompts)):
for file_id, (audio_signal, lang, task, initial_prompt) in enumerate(zip(self.audio_gen(audio_files), lang_codes, tasks, initial_prompts)):
start_ends, audio_signal = self.speech_segmenter(audio_signal=audio_signal)
new_segmented_audio_signal = self.get_segmented_audio_signal(start_ends, audio_signal, file_id, lang, task, initial_prompt)
pbar_update_len[file_id] = 1/len(new_segmented_audio_signal)
Expand Down Expand Up @@ -243,7 +244,7 @@ def get_data_loader(self, audio_files, lang_codes, tasks, initial_prompts, batch

segmented_audio_signal = []
pbar_update_len = {}
for file_id, (audio_signal, lang, task, initial_prompt) in enumerate(zip(audio_batch_generator(audio_files), lang_codes, tasks, initial_prompts)):
for file_id, (audio_signal, lang, task, initial_prompt) in enumerate(zip(self.audio_gen(audio_files), lang_codes, tasks, initial_prompts)):
start_ends, audio_signal = self.basic_segmenter(audio_signal=audio_signal)
new_segmented_audio_signal = self.get_segmented_audio_signal(start_ends, audio_signal, file_id, lang, task, initial_prompt)
pbar_update_len[file_id] = 1/len(new_segmented_audio_signal)
Expand All @@ -268,4 +269,4 @@ def __call__(self, audio_files, lang_codes, tasks, initial_prompts, batch_size=1
if use_vad:
return self.get_data_loader_with_vad(audio_files, lang_codes, tasks, initial_prompts, batch_size=batch_size)
else:
return self.get_data_loader(audio_files, lang_codes, tasks, initial_prompts, batch_size=batch_size)
return self.get_data_loader(audio_files, lang_codes, tasks, initial_prompts, batch_size=batch_size)