Spaces:
Configuration error
Configuration error
File size: 4,254 Bytes
313814b db500b1 313814b 8ad3023 313814b 9f56267 313814b 836d1b1 9f56267 313814b 9f56267 db500b1 9f56267 313814b 9f56267 313814b 9f56267 313814b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 |
import enum
from pydantic import BaseModel, Field
from pydantic_settings import BaseSettings, SettingsConfigDict
from speaches.server_models import ResponseFormat
SAMPLES_PER_SECOND = 16000
BYTES_PER_SAMPLE = 2
BYTES_PER_SECOND = SAMPLES_PER_SECOND * BYTES_PER_SAMPLE
# 2 BYTES = 16 BITS = 1 SAMPLE
# 1 SECOND OF AUDIO = 32000 BYTES = 16000 SAMPLES
# https://huggingface.co/Systran
class Model(enum.StrEnum):
TINY_EN = "tiny.en"
TINY = "tiny"
BASE_EN = "base.en"
BASE = "base"
SMALL_EN = "small.en"
SMALL = "small"
MEDIUM_EN = "medium.en"
MEDIUM = "medium"
LARGE = "large"
LARGE_V1 = "large-v1"
LARGE_V2 = "large-v2"
LARGE_V3 = "large-v3"
DISTIL_SMALL_EN = "distil-small.en"
DISTIL_MEDIUM_EN = "distil-medium.en"
DISTIL_LARGE_V2 = "distil-large-v2"
DISTIL_LARGE_V3 = "distil-large-v3"
class Device(enum.StrEnum):
CPU = "cpu"
CUDA = "cuda"
AUTO = "auto"
# https://github.com/OpenNMT/CTranslate2/blob/master/docs/quantization.md
# NOTE: `Precision` might be a better name
class Quantization(enum.StrEnum):
INT8 = "int8"
INT8_FLOAT16 = "int8_float16"
INT8_BFLOAT16 = "int8_bfloat16"
INT8_FLOAT32 = "int8_float32"
INT16 = "int16"
FLOAT16 = "float16"
BFLOAT16 = "bfloat16"
FLOAT32 = "float32"
DEFAULT = "default"
class Language(enum.StrEnum):
AF = "af"
AM = "am"
AR = "ar"
AS = "as"
AZ = "az"
BA = "ba"
BE = "be"
BG = "bg"
BN = "bn"
BO = "bo"
BR = "br"
BS = "bs"
CA = "ca"
CS = "cs"
CY = "cy"
DA = "da"
DE = "de"
EL = "el"
EN = "en"
ES = "es"
ET = "et"
EU = "eu"
FA = "fa"
FI = "fi"
FO = "fo"
FR = "fr"
GL = "gl"
GU = "gu"
HA = "ha"
HAW = "haw"
HE = "he"
HI = "hi"
HR = "hr"
HT = "ht"
HU = "hu"
HY = "hy"
ID = "id"
IS = "is"
IT = "it"
JA = "ja"
JW = "jw"
KA = "ka"
KK = "kk"
KM = "km"
KN = "kn"
KO = "ko"
LA = "la"
LB = "lb"
LN = "ln"
LO = "lo"
LT = "lt"
LV = "lv"
MG = "mg"
MI = "mi"
MK = "mk"
ML = "ml"
MN = "mn"
MR = "mr"
MS = "ms"
MT = "mt"
MY = "my"
NE = "ne"
NL = "nl"
NN = "nn"
NO = "no"
OC = "oc"
PA = "pa"
PL = "pl"
PS = "ps"
PT = "pt"
RO = "ro"
RU = "ru"
SA = "sa"
SD = "sd"
SI = "si"
SK = "sk"
SL = "sl"
SN = "sn"
SO = "so"
SQ = "sq"
SR = "sr"
SU = "su"
SV = "sv"
SW = "sw"
TA = "ta"
TE = "te"
TG = "tg"
TH = "th"
TK = "tk"
TL = "tl"
TR = "tr"
TT = "tt"
UK = "uk"
UR = "ur"
UZ = "uz"
VI = "vi"
YI = "yi"
YO = "yo"
YUE = "yue"
ZH = "zh"
class WhisperConfig(BaseModel):
model: Model = Field(default=Model.DISTIL_MEDIUM_EN) # ENV: WHISPER_MODEL
inference_device: Device = Field(
default=Device.AUTO
) # ENV: WHISPER_INFERENCE_DEVICE
compute_type: Quantization = Field(
default=Quantization.DEFAULT
) # ENV: WHISPER_COMPUTE_TYPE
class Config(BaseSettings):
model_config = SettingsConfigDict(env_nested_delimiter="_")
log_level: str = "info" # ENV: LOG_LEVEL
default_language: Language | None = None # ENV: DEFAULT_LANGUAGE
default_response_format: ResponseFormat = (
ResponseFormat.JSON
) # ENV: DEFAULT_RESPONSE_FORMAT
whisper: WhisperConfig = WhisperConfig() # ENV: WHISPER_*
"""
Max duration to for the next audio chunk before transcription is finilized and connection is closed.
"""
max_no_data_seconds: float = 1.0 # ENV: MAX_NO_DATA_SECONDS
min_duration: float = 1.0 # ENV: MIN_DURATION
word_timestamp_error_margin: float = 0.2 # ENV: WORD_TIMESTAMP_ERROR_MARGIN
"""
Max allowed audio duration without any speech being detected before transcription is finilized and connection is closed.
"""
max_inactivity_seconds: float = 2.0 # ENV: MAX_INACTIVITY_SECONDS
"""
Controls how many latest seconds of audio are being passed through VAD.
Should be greater than `max_inactivity_seconds`
"""
inactivity_window_seconds: float = 3.0 # ENV: INACTIVITY_WINDOW_SECONDS
config = Config()
|