Spaces:
Running
on
A10G
Running
on
A10G
GitLab CI
commited on
Commit
·
726ec90
1
Parent(s):
97e7d36
Update game build from GitLab CI
Browse files- poetry.lock +994 -35
- pyproject.toml +11 -1
- server/AudioRecorder.py +144 -0
- server/AudioTranscriber.py +42 -0
- server/__main__.py +74 -4
poetry.lock
CHANGED
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@@ -1,4 +1,56 @@
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-
# This file is automatically @generated by Poetry 1.
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| 2 |
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[[package]]
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name = "blinker"
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@@ -11,6 +63,118 @@ files = [
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{file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
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| 14 |
[[package]]
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name = "click"
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version = "8.1.8"
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@@ -36,6 +200,96 @@ files = [
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{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
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| 39 |
[[package]]
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name = "flask"
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version = "3.1.0"
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@@ -50,7 +304,6 @@ files = [
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[package.dependencies]
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blinker = ">=1.9"
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click = ">=8.1.3"
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-
importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
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itsdangerous = ">=2.2"
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Jinja2 = ">=3.1.2"
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Werkzeug = ">=3.1"
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[package.dependencies]
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Flask = ">=0.9"
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[[package]]
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name = "gunicorn"
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version = "23.0.0"
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@@ -95,27 +398,66 @@ testing = ["coverage", "eventlet", "gevent", "pytest", "pytest-cov"]
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tornado = ["tornado (>=0.2)"]
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[[package]]
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-
name = "
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version = "
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description = "
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optional = false
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-
python-versions = ">=3.
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files = [
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-
{file = "
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{file = "
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]
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[package.dependencies]
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-
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[package.extras]
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-
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[[package]]
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name = "itsdangerous"
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@@ -215,6 +557,287 @@ files = [
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{file = "markupsafe-3.0.2.tar.gz", hash = "sha256:ee55d3edf80167e48ea11a923c7386f4669df67d7994554387f84e7d8b0a2bf0"},
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]
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[[package]]
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name = "packaging"
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version = "24.2"
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@@ -227,42 +850,378 @@ files = [
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]
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[[package]]
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-
name = "
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version = "
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description = "
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optional = false
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-
python-versions = ">=3.
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files = [
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-
{file = "
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{file = "
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| 238 |
]
|
| 239 |
|
| 240 |
[package.dependencies]
|
| 241 |
-
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|
| 242 |
|
| 243 |
[package.extras]
|
| 244 |
-
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|
| 245 |
|
| 246 |
[[package]]
|
| 247 |
-
name = "
|
| 248 |
-
version = "
|
| 249 |
-
description = "
|
| 250 |
optional = false
|
| 251 |
python-versions = ">=3.9"
|
| 252 |
files = [
|
| 253 |
-
{file = "
|
| 254 |
-
{file = "
|
| 255 |
]
|
| 256 |
|
| 257 |
[package.extras]
|
| 258 |
-
check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
|
|
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|
| 259 |
cover = ["pytest-cov"]
|
| 260 |
-
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
| 261 |
enabler = ["pytest-enabler (>=2.2)"]
|
| 262 |
-
test = ["
|
| 263 |
-
type = ["pytest-mypy"]
|
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|
| 264 |
|
| 265 |
[metadata]
|
| 266 |
lock-version = "2.0"
|
| 267 |
-
python-versions = "^3.
|
| 268 |
-
content-hash = "
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|
|
|
| 1 |
+
# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
|
| 2 |
+
|
| 3 |
+
[[package]]
|
| 4 |
+
name = "av"
|
| 5 |
+
version = "14.0.1"
|
| 6 |
+
description = "Pythonic bindings for FFmpeg's libraries."
|
| 7 |
+
optional = false
|
| 8 |
+
python-versions = ">=3.9"
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| 9 |
+
files = [
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| 10 |
+
{file = "av-14.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b17c4a584da9a68424e64c84069e625fa97dd9fe0a180c07ed514b08ce18491d"},
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{file = "av-14.0.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:4e2ca87332cb9e018341468f23e8ad6f71edeb7d05963dfe9edb75e2953d88da"},
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| 12 |
+
{file = "av-14.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b3b4ef54e692fa0c0fac097297e9581e7bd957eb604cf93df2ced84ed603a0cd"},
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| 50 |
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|
| 53 |
+
]
|
| 54 |
|
| 55 |
[[package]]
|
| 56 |
name = "blinker"
|
|
|
|
| 63 |
{file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
|
| 64 |
]
|
| 65 |
|
| 66 |
+
[[package]]
|
| 67 |
+
name = "certifi"
|
| 68 |
+
version = "2024.12.14"
|
| 69 |
+
description = "Python package for providing Mozilla's CA Bundle."
|
| 70 |
+
optional = false
|
| 71 |
+
python-versions = ">=3.6"
|
| 72 |
+
files = [
|
| 73 |
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{file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
|
| 74 |
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{file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
|
| 75 |
+
]
|
| 76 |
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|
| 77 |
+
[[package]]
|
| 78 |
+
name = "charset-normalizer"
|
| 79 |
+
version = "3.4.1"
|
| 80 |
+
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
| 81 |
+
optional = false
|
| 82 |
+
python-versions = ">=3.7"
|
| 83 |
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files = [
|
| 84 |
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|
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gs = ["gcsfs"]
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files = [
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{file = "tokenizers-0.21.0-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:c87ca3dc48b9b1222d984b6b7490355a6fdb411a2d810f6f05977258400ddb74"},
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{file = "tokenizers-0.21.0-cp39-abi3-win32.whl", hash = "sha256:eb1702c2f27d25d9dd5b389cc1f2f51813e99f8ca30d9e25348db6585a97e24a"},
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{file = "tokenizers-0.21.0-cp39-abi3-win_amd64.whl", hash = "sha256:87841da5a25a3a5f70c102de371db120f41873b854ba65e52bccd57df5a3780c"},
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{file = "tokenizers-0.21.0.tar.gz", hash = "sha256:ee0894bf311b75b0c03079f33859ae4b2334d675d4e93f5a4132e1eae2834fe4"},
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| 1053 |
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| 1054 |
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|
| 1055 |
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[package.dependencies]
|
| 1056 |
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huggingface-hub = ">=0.16.4,<1.0"
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| 1057 |
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|
| 1058 |
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[package.extras]
|
| 1059 |
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dev = ["tokenizers[testing]"]
|
| 1060 |
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docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
|
| 1061 |
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testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
|
| 1062 |
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|
| 1063 |
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[[package]]
|
| 1064 |
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name = "torch"
|
| 1065 |
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version = "2.5.1+cu121"
|
| 1066 |
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description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
|
| 1067 |
+
optional = false
|
| 1068 |
+
python-versions = ">=3.8.0"
|
| 1069 |
+
files = [
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| 1070 |
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{file = "torch-2.5.1+cu121-cp310-cp310-linux_x86_64.whl", hash = "sha256:92af92c569de5da937dd1afb45ecfdd598ec1254cf2e49e3d698cb24d71aae14"},
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{file = "torch-2.5.1+cu121-cp311-cp311-linux_x86_64.whl", hash = "sha256:c8ab8c92eab928a93c483f83ca8c63f13dafc10fc93ad90ed2dcb7c82ea50410"},
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{file = "torch-2.5.1+cu121-cp311-cp311-win_amd64.whl", hash = "sha256:4bcee18f00c43c815efad8efaa3bca584ffdc8d2cd35ef4c44c814f2739d9191"},
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| 1074 |
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{file = "torch-2.5.1+cu121-cp312-cp312-linux_x86_64.whl", hash = "sha256:222be02548c2e74a21a8fbc8e5b8d2eef9f9faee865d70385d2eb1b9aabcbc76"},
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| 1075 |
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{file = "torch-2.5.1+cu121-cp312-cp312-win_amd64.whl", hash = "sha256:473d76257636c66b22cbfac6f616d6b522ef3d3473c13decb1afda22a7b059eb"},
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| 1076 |
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{file = "torch-2.5.1+cu121-cp313-cp313-linux_x86_64.whl", hash = "sha256:1bfe18b79b0ff9be9383257a66c3f84621ce5f384f02c0a7c79503583d6ffd4b"},
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| 1077 |
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{file = "torch-2.5.1+cu121-cp39-cp39-linux_x86_64.whl", hash = "sha256:3c96b2ec4723e7d97259964ee73e2d6a2bace42511a49005b083ea7be1a0b0ac"},
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| 1078 |
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{file = "torch-2.5.1+cu121-cp39-cp39-win_amd64.whl", hash = "sha256:dc4249c520a6e9b1555e46bd70586a7cf33012800a51acb58a0c51464e3a786a"},
|
| 1079 |
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]
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| 1080 |
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|
| 1081 |
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[package.dependencies]
|
| 1082 |
+
filelock = "*"
|
| 1083 |
+
fsspec = "*"
|
| 1084 |
+
jinja2 = "*"
|
| 1085 |
+
networkx = "*"
|
| 1086 |
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nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1087 |
+
nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1088 |
+
nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1089 |
+
nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1090 |
+
nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1091 |
+
nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1092 |
+
nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1093 |
+
nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1094 |
+
nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1095 |
+
nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1096 |
+
nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
| 1097 |
+
setuptools = {version = "*", markers = "python_version >= \"3.12\""}
|
| 1098 |
+
sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
|
| 1099 |
+
triton = {version = "3.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
|
| 1100 |
+
typing-extensions = ">=4.8.0"
|
| 1101 |
+
|
| 1102 |
+
[package.extras]
|
| 1103 |
+
opt-einsum = ["opt-einsum (>=3.3)"]
|
| 1104 |
+
optree = ["optree (>=0.12.0)"]
|
| 1105 |
+
|
| 1106 |
+
[package.source]
|
| 1107 |
+
type = "legacy"
|
| 1108 |
+
url = "https://download.pytorch.org/whl/cu121"
|
| 1109 |
+
reference = "pytorch"
|
| 1110 |
+
|
| 1111 |
+
[[package]]
|
| 1112 |
+
name = "torchaudio"
|
| 1113 |
+
version = "2.5.1+cu121"
|
| 1114 |
+
description = "An audio package for PyTorch"
|
| 1115 |
+
optional = false
|
| 1116 |
+
python-versions = "*"
|
| 1117 |
+
files = [
|
| 1118 |
+
{file = "torchaudio-2.5.1+cu121-cp310-cp310-linux_x86_64.whl", hash = "sha256:cf38267b5946b4dc3ff80ece5a1c165aa6b2a6fe8dca37bac192fcf47f658db1"},
|
| 1119 |
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{file = "torchaudio-2.5.1+cu121-cp310-cp310-win_amd64.whl", hash = "sha256:68c08cf69f7f39608f4c8d6b87fa054d7c801a19060e89d66003efbceef15641"},
|
| 1120 |
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{file = "torchaudio-2.5.1+cu121-cp311-cp311-linux_x86_64.whl", hash = "sha256:9e6f03e6410cb3557978dea25fb30ce3e7c165e8377fcc8e0e1ddc700503d38b"},
|
| 1121 |
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{file = "torchaudio-2.5.1+cu121-cp311-cp311-win_amd64.whl", hash = "sha256:f9397ff9c6e8fa1b4fdc94939411ac65fe43f66d66367ee80603bc7ce10e18e2"},
|
| 1122 |
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{file = "torchaudio-2.5.1+cu121-cp312-cp312-linux_x86_64.whl", hash = "sha256:5648a01f23033f15d60dc638f91c2d4c66c0a01621162471e806064acda63b70"},
|
| 1123 |
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{file = "torchaudio-2.5.1+cu121-cp312-cp312-win_amd64.whl", hash = "sha256:80400d75da5852bb5491f6259d47a163a00c2d1479ed57d3d95fde205e1b2815"},
|
| 1124 |
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{file = "torchaudio-2.5.1+cu121-cp39-cp39-linux_x86_64.whl", hash = "sha256:fd22825a0c1ba2c42adc00a75d4befbb4f2146daaea36ef7f67e792e061cb8c0"},
|
| 1125 |
+
{file = "torchaudio-2.5.1+cu121-cp39-cp39-win_amd64.whl", hash = "sha256:9d6adda8c59f90f4b4070b57b175a988d8ad77ada303a4e606b6c98eef550873"},
|
| 1126 |
+
]
|
| 1127 |
+
|
| 1128 |
+
[package.dependencies]
|
| 1129 |
+
torch = "2.5.1"
|
| 1130 |
+
|
| 1131 |
+
[package.source]
|
| 1132 |
+
type = "legacy"
|
| 1133 |
+
url = "https://download.pytorch.org/whl/cu121"
|
| 1134 |
+
reference = "pytorch"
|
| 1135 |
+
|
| 1136 |
+
[[package]]
|
| 1137 |
+
name = "tqdm"
|
| 1138 |
+
version = "4.67.1"
|
| 1139 |
+
description = "Fast, Extensible Progress Meter"
|
| 1140 |
+
optional = false
|
| 1141 |
+
python-versions = ">=3.7"
|
| 1142 |
+
files = [
|
| 1143 |
+
{file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
|
| 1144 |
+
{file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
|
| 1145 |
+
]
|
| 1146 |
+
|
| 1147 |
+
[package.dependencies]
|
| 1148 |
+
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
| 1149 |
+
|
| 1150 |
+
[package.extras]
|
| 1151 |
+
dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
|
| 1152 |
+
discord = ["requests"]
|
| 1153 |
+
notebook = ["ipywidgets (>=6)"]
|
| 1154 |
+
slack = ["slack-sdk"]
|
| 1155 |
+
telegram = ["requests"]
|
| 1156 |
+
|
| 1157 |
+
[[package]]
|
| 1158 |
+
name = "triton"
|
| 1159 |
+
version = "3.1.0"
|
| 1160 |
+
description = "A language and compiler for custom Deep Learning operations"
|
| 1161 |
+
optional = false
|
| 1162 |
+
python-versions = "*"
|
| 1163 |
+
files = [
|
| 1164 |
+
{file = "triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b0dd10a925263abbe9fa37dcde67a5e9b2383fc269fdf59f5657cac38c5d1d8"},
|
| 1165 |
+
{file = "triton-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f34f6e7885d1bf0eaaf7ba875a5f0ce6f3c13ba98f9503651c1e6dc6757ed5c"},
|
| 1166 |
+
{file = "triton-3.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8182f42fd8080a7d39d666814fa36c5e30cc00ea7eeeb1a2983dbb4c99a0fdc"},
|
| 1167 |
+
{file = "triton-3.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dadaca7fc24de34e180271b5cf864c16755702e9f63a16f62df714a8099126a"},
|
| 1168 |
+
{file = "triton-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aafa9a20cd0d9fee523cd4504aa7131807a864cd77dcf6efe7e981f18b8c6c11"},
|
| 1169 |
+
]
|
| 1170 |
+
|
| 1171 |
+
[package.dependencies]
|
| 1172 |
+
filelock = "*"
|
| 1173 |
+
|
| 1174 |
+
[package.extras]
|
| 1175 |
+
build = ["cmake (>=3.20)", "lit"]
|
| 1176 |
+
tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
|
| 1177 |
+
tutorials = ["matplotlib", "pandas", "tabulate"]
|
| 1178 |
+
|
| 1179 |
+
[[package]]
|
| 1180 |
+
name = "typing-extensions"
|
| 1181 |
+
version = "4.12.2"
|
| 1182 |
+
description = "Backported and Experimental Type Hints for Python 3.8+"
|
| 1183 |
+
optional = false
|
| 1184 |
+
python-versions = ">=3.8"
|
| 1185 |
+
files = [
|
| 1186 |
+
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
|
| 1187 |
+
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
|
| 1188 |
+
]
|
| 1189 |
+
|
| 1190 |
+
[[package]]
|
| 1191 |
+
name = "urllib3"
|
| 1192 |
+
version = "2.3.0"
|
| 1193 |
+
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
| 1194 |
+
optional = false
|
| 1195 |
+
python-versions = ">=3.9"
|
| 1196 |
+
files = [
|
| 1197 |
+
{file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
|
| 1198 |
+
{file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
|
| 1199 |
+
]
|
| 1200 |
+
|
| 1201 |
+
[package.extras]
|
| 1202 |
+
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
| 1203 |
+
h2 = ["h2 (>=4,<5)"]
|
| 1204 |
+
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
| 1205 |
+
zstd = ["zstandard (>=0.18.0)"]
|
| 1206 |
+
|
| 1207 |
+
[[package]]
|
| 1208 |
+
name = "werkzeug"
|
| 1209 |
+
version = "3.1.3"
|
| 1210 |
+
description = "The comprehensive WSGI web application library."
|
| 1211 |
+
optional = false
|
| 1212 |
+
python-versions = ">=3.9"
|
| 1213 |
+
files = [
|
| 1214 |
+
{file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"},
|
| 1215 |
+
{file = "werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"},
|
| 1216 |
+
]
|
| 1217 |
+
|
| 1218 |
+
[package.dependencies]
|
| 1219 |
+
MarkupSafe = ">=2.1.1"
|
| 1220 |
+
|
| 1221 |
+
[package.extras]
|
| 1222 |
+
watchdog = ["watchdog (>=2.3)"]
|
| 1223 |
|
| 1224 |
[metadata]
|
| 1225 |
lock-version = "2.0"
|
| 1226 |
+
python-versions = "^3.10"
|
| 1227 |
+
content-hash = "e537dfb61ff964414aeb79e44376d70958ce8bf241d2bf22e7b1a30f98016292"
|
pyproject.toml
CHANGED
|
@@ -6,12 +6,22 @@ authors = ["Gabriel Kasser <[email protected]>"]
|
|
| 6 |
readme = "README.md"
|
| 7 |
|
| 8 |
[tool.poetry.dependencies]
|
| 9 |
-
python = "^3.
|
| 10 |
flask = "^3.1.0"
|
| 11 |
gunicorn = "^23.0.0"
|
| 12 |
flask-cors = "^5.0.0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
[build-system]
|
| 16 |
requires = ["poetry-core"]
|
| 17 |
build-backend = "poetry.core.masonry.api"
|
|
|
|
| 6 |
readme = "README.md"
|
| 7 |
|
| 8 |
[tool.poetry.dependencies]
|
| 9 |
+
python = "^3.10"
|
| 10 |
flask = "^3.1.0"
|
| 11 |
gunicorn = "^23.0.0"
|
| 12 |
flask-cors = "^5.0.0"
|
| 13 |
+
faster-whisper = "^1.1.1"
|
| 14 |
+
pyaudio = "^0.2.14"
|
| 15 |
+
torch = {version = "^2.5.1+cu121", source = "pytorch"}
|
| 16 |
+
torchaudio = {version = "^2.5.1+cu121", source = "pytorch"}
|
| 17 |
+
ctranslate2 = "4.4.0"
|
| 18 |
|
| 19 |
|
| 20 |
+
[[tool.poetry.source]]
|
| 21 |
+
name = "pytorch"
|
| 22 |
+
url = "https://download.pytorch.org/whl/cu121"
|
| 23 |
+
priority = "explicit"
|
| 24 |
+
|
| 25 |
[build-system]
|
| 26 |
requires = ["poetry-core"]
|
| 27 |
build-backend = "poetry.core.masonry.api"
|
server/AudioRecorder.py
ADDED
|
@@ -0,0 +1,144 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from multiprocessing import Process, Pipe, connection
|
| 2 |
+
from typing import Optional, List, Deque
|
| 3 |
+
from collections import deque
|
| 4 |
+
import pyaudio
|
| 5 |
+
import time
|
| 6 |
+
import io
|
| 7 |
+
import wave
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
class AudioRecorder:
|
| 11 |
+
def __init__(
|
| 12 |
+
self,
|
| 13 |
+
output_pipe: connection.Connection,
|
| 14 |
+
input_device_index: Optional[int] = None,
|
| 15 |
+
):
|
| 16 |
+
self.CHUNK: int = 1024
|
| 17 |
+
self.FORMAT: int = pyaudio.paInt16
|
| 18 |
+
self.CHANNELS: int = 1
|
| 19 |
+
self.RATE: int = 44100
|
| 20 |
+
self.RECORD_SECONDS: int = 1
|
| 21 |
+
self.recording_process: Optional[Process] = None
|
| 22 |
+
self.audio_chunks: Deque[bytes] = deque(maxlen=2)
|
| 23 |
+
self.output_pipe: connection.Connection = output_pipe
|
| 24 |
+
self.input_device_index: Optional[int] = input_device_index
|
| 25 |
+
|
| 26 |
+
@staticmethod
|
| 27 |
+
def list_microphones() -> List[dict]:
|
| 28 |
+
"""List all available input devices with their properties"""
|
| 29 |
+
p = pyaudio.PyAudio()
|
| 30 |
+
devices = []
|
| 31 |
+
|
| 32 |
+
for i in range(p.get_device_count()):
|
| 33 |
+
device_info = p.get_device_info_by_index(i)
|
| 34 |
+
if device_info["maxInputChannels"] > 0: # Only input devices
|
| 35 |
+
devices.append(device_info)
|
| 36 |
+
|
| 37 |
+
p.terminate()
|
| 38 |
+
return devices
|
| 39 |
+
|
| 40 |
+
def create_wav_bytes(self, frames: List[bytes]) -> bytes:
|
| 41 |
+
"""Convert raw audio frames to WAV format in memory"""
|
| 42 |
+
wav_buffer = io.BytesIO()
|
| 43 |
+
with wave.open(wav_buffer, "wb") as wf:
|
| 44 |
+
wf.setnchannels(self.CHANNELS)
|
| 45 |
+
wf.setsampwidth(pyaudio.get_sample_size(self.FORMAT))
|
| 46 |
+
wf.setframerate(self.RATE)
|
| 47 |
+
wf.writeframes(b"".join(frames))
|
| 48 |
+
return wav_buffer.getvalue()
|
| 49 |
+
|
| 50 |
+
def record_audio(self) -> None:
|
| 51 |
+
p = pyaudio.PyAudio()
|
| 52 |
+
|
| 53 |
+
while True:
|
| 54 |
+
stream = p.open(
|
| 55 |
+
format=self.FORMAT,
|
| 56 |
+
channels=self.CHANNELS,
|
| 57 |
+
rate=self.RATE,
|
| 58 |
+
input=True,
|
| 59 |
+
input_device_index=self.input_device_index,
|
| 60 |
+
frames_per_buffer=self.CHUNK,
|
| 61 |
+
)
|
| 62 |
+
|
| 63 |
+
frames: List[bytes] = []
|
| 64 |
+
|
| 65 |
+
# Record for RECORD_SECONDS
|
| 66 |
+
for _ in range(0, int(self.RATE / self.CHUNK * self.RECORD_SECONDS)):
|
| 67 |
+
try:
|
| 68 |
+
data = stream.read(self.CHUNK, exception_on_overflow=False)
|
| 69 |
+
frames.append(data)
|
| 70 |
+
except OSError as e:
|
| 71 |
+
print(f"Warning: Audio input overflow occurred: {e}")
|
| 72 |
+
continue
|
| 73 |
+
|
| 74 |
+
stream.stop_stream()
|
| 75 |
+
stream.close()
|
| 76 |
+
|
| 77 |
+
# Convert to WAV format and add to rolling buffer
|
| 78 |
+
wav_bytes = self.create_wav_bytes(frames)
|
| 79 |
+
self.audio_chunks.append(wav_bytes)
|
| 80 |
+
|
| 81 |
+
# Send chunks through pipe if we have enough data
|
| 82 |
+
if len(self.audio_chunks) == 2:
|
| 83 |
+
self.output_pipe.send(b"".join(self.audio_chunks))
|
| 84 |
+
|
| 85 |
+
def start_recording(self) -> None:
|
| 86 |
+
"""Démarre l'enregistrement dans un processus séparé"""
|
| 87 |
+
self.recording_process = Process(target=self.record_audio)
|
| 88 |
+
self.recording_process.start()
|
| 89 |
+
|
| 90 |
+
def stop_recording(self) -> None:
|
| 91 |
+
"""Arrête l'enregistrement"""
|
| 92 |
+
if self.recording_process:
|
| 93 |
+
self.recording_process.terminate()
|
| 94 |
+
self.recording_process = None
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
def transcription_process(input_pipe: connection.Connection) -> None:
|
| 98 |
+
from server.tts import AudioTranscriber # Import here to avoid thread locks
|
| 99 |
+
|
| 100 |
+
transcriber = AudioTranscriber()
|
| 101 |
+
|
| 102 |
+
while True:
|
| 103 |
+
try:
|
| 104 |
+
audio_data = input_pipe.recv()
|
| 105 |
+
audio_buffer = io.BytesIO(audio_data)
|
| 106 |
+
audio_buffer.seek(0)
|
| 107 |
+
|
| 108 |
+
segments, info = transcriber.transcribe_audio_bytes(
|
| 109 |
+
audio_buffer, language="fr"
|
| 110 |
+
)
|
| 111 |
+
transcriber.print_segments(segments)
|
| 112 |
+
except Exception as e:
|
| 113 |
+
print(f"Transcription error: {e}")
|
| 114 |
+
|
| 115 |
+
|
| 116 |
+
if __name__ == "__main__":
|
| 117 |
+
# List available microphones
|
| 118 |
+
microphones = AudioRecorder.list_microphones()
|
| 119 |
+
print("\nAvailable microphones:")
|
| 120 |
+
for i, device in enumerate(microphones):
|
| 121 |
+
print(f"{i}: {device['name']}")
|
| 122 |
+
|
| 123 |
+
# Ask for microphone selection
|
| 124 |
+
selected_index = int(input("\nSelect microphone index: "))
|
| 125 |
+
device_index = microphones[selected_index]["index"]
|
| 126 |
+
|
| 127 |
+
# Create pipe for communication between processes
|
| 128 |
+
recorder_conn, transcriber_conn = Pipe()
|
| 129 |
+
|
| 130 |
+
# Create and start transcription process
|
| 131 |
+
transcription_proc = Process(target=transcription_process, args=(transcriber_conn,))
|
| 132 |
+
transcription_proc.start()
|
| 133 |
+
|
| 134 |
+
# Create and start recorder with selected device
|
| 135 |
+
recorder = AudioRecorder(recorder_conn, input_device_index=device_index)
|
| 136 |
+
print("Début de l'enregistrement... Appuyez sur Ctrl+C pour arrêter")
|
| 137 |
+
try:
|
| 138 |
+
recorder.start_recording()
|
| 139 |
+
while True:
|
| 140 |
+
time.sleep(1)
|
| 141 |
+
except KeyboardInterrupt:
|
| 142 |
+
recorder.stop_recording()
|
| 143 |
+
transcription_proc.terminate()
|
| 144 |
+
print("\nEnregistrement arrêt��")
|
server/AudioTranscriber.py
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import io
|
| 2 |
+
import threading
|
| 3 |
+
from multiprocessing import Queue
|
| 4 |
+
from queue import Empty
|
| 5 |
+
from faster_whisper import WhisperModel
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
class AudioTranscriber(threading.Thread):
|
| 9 |
+
def __init__(self, audio_queue: Queue[io.BytesIO], action_queue: Queue[str]):
|
| 10 |
+
super().__init__()
|
| 11 |
+
self.audio_queue = audio_queue
|
| 12 |
+
self.action_queue = action_queue
|
| 13 |
+
self.daemon = True # Thread will exit when main program exits
|
| 14 |
+
|
| 15 |
+
self.transcriber = WhisperModel(
|
| 16 |
+
"medium",
|
| 17 |
+
device="cuda",
|
| 18 |
+
compute_type="int8",
|
| 19 |
+
)
|
| 20 |
+
|
| 21 |
+
def run(self):
|
| 22 |
+
while True:
|
| 23 |
+
try:
|
| 24 |
+
# Wait for 1 second before timing out and checking again
|
| 25 |
+
audio_chunk = self.audio_queue.get(timeout=1)
|
| 26 |
+
|
| 27 |
+
# Process the audio chunk using the faster-whisper implementation
|
| 28 |
+
segments, info = self.transcriber.transcribe(audio_chunk, language="fr")
|
| 29 |
+
|
| 30 |
+
# Put the transcription results in the output queue
|
| 31 |
+
for segment in segments:
|
| 32 |
+
self.action_queue.put(segment.text)
|
| 33 |
+
# Still print for debugging
|
| 34 |
+
print(
|
| 35 |
+
f"[%.2fs -> %.2fs] %s"
|
| 36 |
+
% (segment.start, segment.end, segment.text)
|
| 37 |
+
)
|
| 38 |
+
|
| 39 |
+
except Empty:
|
| 40 |
+
continue # If queue is empty, continue waiting
|
| 41 |
+
except Exception as e:
|
| 42 |
+
print(f"Error processing audio chunk: {e}")
|
server/__main__.py
CHANGED
|
@@ -1,11 +1,23 @@
|
|
|
|
|
|
|
|
| 1 |
from flask import Flask, send_from_directory, jsonify, request, abort
|
| 2 |
import os
|
| 3 |
import gunicorn.app.base
|
| 4 |
from flask_cors import CORS
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
|
| 6 |
# Use a directory in the user's home folder for static files
|
| 7 |
STATIC_DIR = "/app/server/static"
|
| 8 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
|
| 10 |
app = Flask(__name__, static_folder=STATIC_DIR)
|
| 11 |
|
|
@@ -66,8 +78,62 @@ def get_data():
|
|
| 66 |
|
| 67 |
@app.route("/api/process", methods=["POST"])
|
| 68 |
def process_data():
|
| 69 |
-
|
| 70 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 71 |
|
| 72 |
|
| 73 |
@app.route("/<path:path>")
|
|
@@ -79,7 +145,7 @@ def serve_static(path: str):
|
|
| 79 |
|
| 80 |
|
| 81 |
class StandaloneApplication(gunicorn.app.base.BaseApplication):
|
| 82 |
-
def __init__(self, app, options=None):
|
| 83 |
self.options = options or {}
|
| 84 |
self.application = app
|
| 85 |
super().__init__()
|
|
@@ -100,7 +166,11 @@ if __name__ == "__main__":
|
|
| 100 |
|
| 101 |
os.makedirs(app.static_folder, exist_ok=True)
|
| 102 |
|
| 103 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
"bind": "0.0.0.0:7860",
|
| 105 |
"workers": 3,
|
| 106 |
"worker_class": "sync",
|
|
|
|
| 1 |
+
from ast import Tuple
|
| 2 |
+
import io
|
| 3 |
from flask import Flask, send_from_directory, jsonify, request, abort
|
| 4 |
import os
|
| 5 |
import gunicorn.app.base
|
| 6 |
from flask_cors import CORS
|
| 7 |
+
from multiprocessing import Queue
|
| 8 |
+
import base64
|
| 9 |
+
from typing import Any, Optional, List, Dict
|
| 10 |
+
from queue import Queue
|
| 11 |
+
|
| 12 |
+
from server.AudioTranscriber import AudioTranscriber
|
| 13 |
|
| 14 |
# Use a directory in the user's home folder for static files
|
| 15 |
STATIC_DIR = "/app/server/static"
|
| 16 |
|
| 17 |
+
# Add a global queue for audio processing
|
| 18 |
+
audio_queue: "Queue[io.BytesIO]" = Queue()
|
| 19 |
+
# Add a global queue for actions
|
| 20 |
+
action_queue: "Queue[str]" = Queue()
|
| 21 |
|
| 22 |
app = Flask(__name__, static_folder=STATIC_DIR)
|
| 23 |
|
|
|
|
| 78 |
|
| 79 |
@app.route("/api/process", methods=["POST"])
|
| 80 |
def process_data():
|
| 81 |
+
try:
|
| 82 |
+
data = request.get_json()
|
| 83 |
+
|
| 84 |
+
# Validate the incoming data
|
| 85 |
+
if not data or "audio_chunk" not in data:
|
| 86 |
+
return (
|
| 87 |
+
jsonify({"error": "Missing audio_chunk in request", "status": "error"}),
|
| 88 |
+
400,
|
| 89 |
+
)
|
| 90 |
+
|
| 91 |
+
# Decode the base64 audio chunk
|
| 92 |
+
audio_chunk: Optional[bytes] = None
|
| 93 |
+
try:
|
| 94 |
+
audio_chunk = base64.b64decode(data["audio_chunk"])
|
| 95 |
+
except Exception as e:
|
| 96 |
+
return (
|
| 97 |
+
jsonify(
|
| 98 |
+
{
|
| 99 |
+
"error": f"Failed to decode audio chunk: {str(e)}",
|
| 100 |
+
"status": "error",
|
| 101 |
+
}
|
| 102 |
+
),
|
| 103 |
+
400,
|
| 104 |
+
)
|
| 105 |
+
|
| 106 |
+
# Put the audio chunk in the queue for processing
|
| 107 |
+
audio_queue.put(io.BytesIO(audio_chunk))
|
| 108 |
+
|
| 109 |
+
return jsonify(
|
| 110 |
+
{
|
| 111 |
+
"message": "Audio chunk received and queued for processing",
|
| 112 |
+
"status": "success",
|
| 113 |
+
}
|
| 114 |
+
)
|
| 115 |
+
except Exception as e:
|
| 116 |
+
return (
|
| 117 |
+
jsonify(
|
| 118 |
+
{"error": f"Failed to process request: {str(e)}", "status": "error"}
|
| 119 |
+
),
|
| 120 |
+
500,
|
| 121 |
+
)
|
| 122 |
+
|
| 123 |
+
|
| 124 |
+
@app.route("/api/actions", methods=["GET"])
|
| 125 |
+
def get_actions() -> Tuple[Dict[str, Any], int]:
|
| 126 |
+
"""Retrieve and clear all pending actions from the queue"""
|
| 127 |
+
actions: List[Dict[str, Any]] = []
|
| 128 |
+
|
| 129 |
+
# Drain the queue into our actions list
|
| 130 |
+
while not action_queue.empty():
|
| 131 |
+
try:
|
| 132 |
+
actions.append(action_queue.get_nowait())
|
| 133 |
+
except:
|
| 134 |
+
break
|
| 135 |
+
|
| 136 |
+
return jsonify({"actions": actions, "status": "success"}), 200
|
| 137 |
|
| 138 |
|
| 139 |
@app.route("/<path:path>")
|
|
|
|
| 145 |
|
| 146 |
|
| 147 |
class StandaloneApplication(gunicorn.app.base.BaseApplication):
|
| 148 |
+
def __init__(self, app: Flask, options: Optional[Dict[str, Any]] = None):
|
| 149 |
self.options = options or {}
|
| 150 |
self.application = app
|
| 151 |
super().__init__()
|
|
|
|
| 166 |
|
| 167 |
os.makedirs(app.static_folder, exist_ok=True)
|
| 168 |
|
| 169 |
+
# Start the audio transcriber thread
|
| 170 |
+
transcriber = AudioTranscriber(audio_queue, action_queue)
|
| 171 |
+
transcriber.start()
|
| 172 |
+
|
| 173 |
+
options: Any = {
|
| 174 |
"bind": "0.0.0.0:7860",
|
| 175 |
"workers": 3,
|
| 176 |
"worker_class": "sync",
|