Fedir Zadniprovskyi
2024-05-20
init
@313814ba72ba0ae69bd8695a4e9644d4c33e90f4
+++ .dockerignore
... | ... | @@ -0,0 +1,12 @@ |
| 1 | +__pycache__ | |
| 2 | +tests/data | |
| 3 | +.pytest_cache | |
| 4 | +.git | |
| 5 | +flake.nix | |
| 6 | +flake.lock | |
| 7 | +.envrc | |
| 8 | +.gitignore | |
| 9 | +.direnv | |
| 10 | +.task | |
| 11 | +Taskfile.yaml | |
| 12 | +README.md |
+++ .envrc
... | ... | @@ -0,0 +1,1 @@ |
| 1 | +use flake |
+++ .gitignore
... | ... | @@ -0,0 +1,5 @@ |
| 1 | +__pycache__ | |
| 2 | +.pytest_cache | |
| 3 | +tests/data | |
| 4 | +.direnv | |
| 5 | +.task |
+++ .pre-commit-config.yaml
... | ... | @@ -0,0 +1,25 @@ |
| 1 | +# See https://pre-commit.com for more information | |
| 2 | +# See https://pre-commit.com/hooks.html for more hooks | |
| 3 | +repos: | |
| 4 | + - repo: https://github.com/pre-commit/pre-commit-hooks | |
| 5 | + rev: v3.2.0 | |
| 6 | + hooks: | |
| 7 | + - id: trailing-whitespace | |
| 8 | + - id: end-of-file-fixer | |
| 9 | + - id: check-yaml | |
| 10 | + - id: check-added-large-files | |
| 11 | + | |
| 12 | + - repo: https://github.com/pre-commit/mirrors-mypy | |
| 13 | + rev: v1.10.0 | |
| 14 | + hooks: | |
| 15 | + - id: mypy | |
| 16 | + | |
| 17 | + # - repo: https://github.com/PyCQA/isort | |
| 18 | + # rev: 5.13.2 | |
| 19 | + # hooks: | |
| 20 | + # - id: isort | |
| 21 | + # | |
| 22 | + # - repo: https://github.com/psf/black | |
| 23 | + # rev: 24.4.2 | |
| 24 | + # hooks: | |
| 25 | + # - id: black |
+++ Dockerfile.cpu
... | ... | @@ -0,0 +1,14 @@ |
| 1 | +FROM ubuntu:22.04 | |
| 2 | +RUN apt-get update && \ | |
| 3 | + apt-get install -y curl software-properties-common && \ | |
| 4 | + add-apt-repository ppa:deadsnakes/ppa && \ | |
| 5 | + apt-get update && \ | |
| 6 | + DEBIAN_FRONTEND=noninteractive apt-get -y install python3.11 python3.11-distutils && \ | |
| 7 | + curl -sS https://bootstrap.pypa.io/get-pip.py | python3.11 | |
| 8 | +RUN pip install --no-cache-dir poetry==1.8.2 | |
| 9 | +WORKDIR /root/speaches | |
| 10 | +COPY pyproject.toml poetry.lock ./ | |
| 11 | +RUN poetry install | |
| 12 | +COPY ./speaches ./speaches | |
| 13 | +ENTRYPOINT ["poetry", "run"] | |
| 14 | +CMD ["uvicorn", "speaches.main:app"] |
+++ Dockerfile.cuda
... | ... | @@ -0,0 +1,14 @@ |
| 1 | +FROM nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04 | |
| 2 | +RUN apt-get update && \ | |
| 3 | + apt-get install -y curl software-properties-common && \ | |
| 4 | + add-apt-repository ppa:deadsnakes/ppa && \ | |
| 5 | + apt-get update && \ | |
| 6 | + DEBIAN_FRONTEND=noninteractive apt-get -y install python3.11 python3.11-distutils && \ | |
| 7 | + curl -sS https://bootstrap.pypa.io/get-pip.py | python3.11 | |
| 8 | +RUN pip install --no-cache-dir poetry==1.8.2 | |
| 9 | +WORKDIR /root/speaches | |
| 10 | +COPY pyproject.toml poetry.lock ./ | |
| 11 | +RUN poetry install | |
| 12 | +COPY ./speaches ./speaches | |
| 13 | +ENTRYPOINT ["poetry", "run"] | |
| 14 | +CMD ["uvicorn", "speaches.main:app"] |
+++ LICENSE
... | ... | @@ -0,0 +1,21 @@ |
| 1 | +MIT License | |
| 2 | + | |
| 3 | +Copyright (c) 2024 Fedir Zadniprovskyi | |
| 4 | + | |
| 5 | +Permission is hereby granted, free of charge, to any person obtaining a copy | |
| 6 | +of this software and associated documentation files (the "Software"), to deal | |
| 7 | +in the Software without restriction, including without limitation the rights | |
| 8 | +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| 9 | +copies of the Software, and to permit persons to whom the Software is | |
| 10 | +furnished to do so, subject to the following conditions: | |
| 11 | + | |
| 12 | +The above copyright notice and this permission notice shall be included in all | |
| 13 | +copies or substantial portions of the Software. | |
| 14 | + | |
| 15 | +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| 16 | +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| 17 | +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| 18 | +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| 19 | +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| 20 | +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| 21 | +SOFTWARE. |
+++ README.md
... | ... | @@ -0,0 +1,24 @@ |
| 1 | +# Intro | |
| 2 | +`speaches` is a webserver that supports real-time transcription using WebSockets. | |
| 3 | +- [faster-whisper](https://github.com/SYSTRAN/faster-whisper) is used as the backend. Both GPU and CPU inference is supported. | |
| 4 | +- LocalAgreement2([paper](https://aclanthology.org/2023.ijcnlp-demo.3.pdf)|[original implementation](https://github.com/ufal/whisper_streaming)) algorithm is used for real-time transcription. | |
| 5 | +- Can be deployed using Docker (Compose configuration can be found in (compose.yaml[./compose.yaml])). | |
| 6 | +- All configuration is done through environment variables. See [config.py](./speaches/config.py). | |
| 7 | +- NOTE: only transcription of single channel, 16000 sample rate, raw, 16-bit little-endian audio is supported. | |
| 8 | +- NOTE: this isn't really meant to be used as a standalone tool but rather to add transcription features to other applications | |
| 9 | +Please create an issue if you find a bug, have a question, or a feature suggestion. | |
| 10 | +# Quick Start | |
| 11 | +NOTE: You'll need to install [websocat](https://github.com/vi/websocat?tab=readme-ov-file#installation) or an alternative. | |
| 12 | +Spinning up a `speaches` web-server | |
| 13 | +```bash | |
| 14 | +docker run --detach --gpus=all --publish 8000:8000 --mount ~/.cache/huggingface:/root/.cache/huggingface --name speaches fedirz/speaches:cuda | |
| 15 | +# or | |
| 16 | +docker run --detach --publish 8000:8000 --mount ~/.cache/huggingface:/root/.cache/huggingface --name speaches fedirz/speaches:cpu | |
| 17 | +``` | |
| 18 | +Sending audio data via websocket | |
| 19 | +```bash | |
| 20 | +arecord -f S16_LE -c1 -r 16000 -t raw -D default | websocat --binary ws://localhost:8000/v1/audio/transcriptions | |
| 21 | +# or | |
| 22 | +ffmpeg -f alsa -ac 1 -ar 16000 -sample_fmt s16le -i default | websocat --binary ws://localhost:8000/v1/audio/transcriptions | |
| 23 | +``` | |
| 24 | +# Example |
+++ Taskfile.yaml
... | ... | @@ -0,0 +1,15 @@ |
| 1 | +version: "3" | |
| 2 | +tasks: | |
| 3 | + speaches: poetry run uvicorn speaches.main:app {{.CLI_ARGS}} | |
| 4 | + test: | |
| 5 | + cmds: | |
| 6 | + - poetry run pytest -o log_cli=true -o log_cli_level=DEBUG {{.CLI_ARGS}} | |
| 7 | + sources: | |
| 8 | + - "**/*.py" | |
| 9 | + build-and-push: | |
| 10 | + cmds: | |
| 11 | + - docker compose build --push speaches | |
| 12 | + sources: | |
| 13 | + - Dockerfile | |
| 14 | + - speaches/*.py | |
| 15 | + sync: lsyncd -nodaemon -delay 0 -rsyncssh . gpu-box speaches |
+++ compose.yaml
... | ... | @@ -0,0 +1,34 @@ |
| 1 | +services: | |
| 2 | + speaches-cuda: | |
| 3 | + image: fedirz/speaches:cuda | |
| 4 | + build: | |
| 5 | + dockerfile: Dockerfile.cuda | |
| 6 | + context: . | |
| 7 | + tags: | |
| 8 | + - fedirz/speaches:cuda | |
| 9 | + volumes: | |
| 10 | + - ~/.cache/huggingface:/root/.cache/huggingface | |
| 11 | + restart: unless-stopped | |
| 12 | + ports: | |
| 13 | + - 8000:8000 | |
| 14 | + environment: | |
| 15 | + - INFERENCE_DEVICE=cuda | |
| 16 | + deploy: | |
| 17 | + resources: | |
| 18 | + reservations: | |
| 19 | + devices: | |
| 20 | + - capabilities: ["gpu"] | |
| 21 | + speaches-cpu: | |
| 22 | + image: fedirz/speaches:cpu | |
| 23 | + build: | |
| 24 | + dockerfile: Dockerfile.cpu | |
| 25 | + context: . | |
| 26 | + tags: | |
| 27 | + - fedirz/speaches:cpu | |
| 28 | + volumes: | |
| 29 | + - ~/.cache/huggingface:/root/.cache/huggingface | |
| 30 | + restart: unless-stopped | |
| 31 | + ports: | |
| 32 | + - 8000:8000 | |
| 33 | + environment: | |
| 34 | + - INFERENCE_DEVICE=cpu |
+++ flake.lock
... | ... | @@ -0,0 +1,61 @@ |
| 1 | +{ | |
| 2 | + "nodes": { | |
| 3 | + "flake-utils": { | |
| 4 | + "inputs": { | |
| 5 | + "systems": "systems" | |
| 6 | + }, | |
| 7 | + "locked": { | |
| 8 | + "lastModified": 1710146030, | |
| 9 | + "narHash": "sha256-SZ5L6eA7HJ/nmkzGG7/ISclqe6oZdOZTNoesiInkXPQ=", | |
| 10 | + "owner": "numtide", | |
| 11 | + "repo": "flake-utils", | |
| 12 | + "rev": "b1d9ab70662946ef0850d488da1c9019f3a9752a", | |
| 13 | + "type": "github" | |
| 14 | + }, | |
| 15 | + "original": { | |
| 16 | + "owner": "numtide", | |
| 17 | + "repo": "flake-utils", | |
| 18 | + "type": "github" | |
| 19 | + } | |
| 20 | + }, | |
| 21 | + "nixpkgs": { | |
| 22 | + "locked": { | |
| 23 | + "lastModified": 1716073433, | |
| 24 | + "narHash": "sha256-9G0BS7I/5z0n35Vx1d+TLxaIKQ93rEf5VLXNLWu7/44=", | |
| 25 | + "owner": "NixOS", | |
| 26 | + "repo": "nixpkgs", | |
| 27 | + "rev": "b7d845292c304e026d86097e6d07409070e80dcc", | |
| 28 | + "type": "github" | |
| 29 | + }, | |
| 30 | + "original": { | |
| 31 | + "owner": "NixOS", | |
| 32 | + "ref": "master", | |
| 33 | + "repo": "nixpkgs", | |
| 34 | + "type": "github" | |
| 35 | + } | |
| 36 | + }, | |
| 37 | + "root": { | |
| 38 | + "inputs": { | |
| 39 | + "flake-utils": "flake-utils", | |
| 40 | + "nixpkgs": "nixpkgs" | |
| 41 | + } | |
| 42 | + }, | |
| 43 | + "systems": { | |
| 44 | + "locked": { | |
| 45 | + "lastModified": 1681028828, | |
| 46 | + "narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=", | |
| 47 | + "owner": "nix-systems", | |
| 48 | + "repo": "default", | |
| 49 | + "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e", | |
| 50 | + "type": "github" | |
| 51 | + }, | |
| 52 | + "original": { | |
| 53 | + "owner": "nix-systems", | |
| 54 | + "repo": "default", | |
| 55 | + "type": "github" | |
| 56 | + } | |
| 57 | + } | |
| 58 | + }, | |
| 59 | + "root": "root", | |
| 60 | + "version": 7 | |
| 61 | +} |
+++ flake.nix
... | ... | @@ -0,0 +1,40 @@ |
| 1 | +{ | |
| 2 | + inputs = { | |
| 3 | + nixpkgs.url = "github:NixOS/nixpkgs/master"; | |
| 4 | + flake-utils.url = "github:numtide/flake-utils"; | |
| 5 | + }; | |
| 6 | + outputs = | |
| 7 | + { nixpkgs, flake-utils, ... }: | |
| 8 | + flake-utils.lib.eachDefaultSystem ( | |
| 9 | + system: | |
| 10 | + let | |
| 11 | + pkgs = import nixpkgs { | |
| 12 | + inherit system; | |
| 13 | + config.allowUnfree = true; | |
| 14 | + }; | |
| 15 | + in | |
| 16 | + { | |
| 17 | + devShells = { | |
| 18 | + default = pkgs.mkShell { | |
| 19 | + nativeBuildInputs = with pkgs; [ | |
| 20 | + (with python311Packages; huggingface-hub) | |
| 21 | + ffmpeg-full | |
| 22 | + go-task | |
| 23 | + lsyncd | |
| 24 | + poetry | |
| 25 | + pre-commit | |
| 26 | + pyright | |
| 27 | + python311 | |
| 28 | + websocat | |
| 29 | + ]; | |
| 30 | + shellHook = '' | |
| 31 | + source $(poetry env info --path)/bin/activate | |
| 32 | + export LD_LIBRARY_PATH=${pkgs.stdenv.cc.cc.lib}/lib:$LD_LIBRARY_PATH | |
| 33 | + export LD_LIBRARY_PATH=${pkgs.zlib}/lib:$LD_LIBRARY_PATH | |
| 34 | + ''; | |
| 35 | + }; | |
| 36 | + }; | |
| 37 | + formatter = pkgs.nixfmt; | |
| 38 | + } | |
| 39 | + ); | |
| 40 | +} |
+++ poetry.lock
... | ... | @@ -0,0 +1,2004 @@ |
| 1 | +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. | |
| 2 | + | |
| 3 | +[[package]] | |
| 4 | +name = "annotated-types" | |
| 5 | +version = "0.6.0" | |
| 6 | +description = "Reusable constraint types to use with typing.Annotated" | |
| 7 | +optional = false | |
| 8 | +python-versions = ">=3.8" | |
| 9 | +files = [ | |
| 10 | + {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, | |
| 11 | + {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, | |
| 12 | +] | |
| 13 | + | |
| 14 | +[[package]] | |
| 15 | +name = "anyio" | |
| 16 | +version = "4.3.0" | |
| 17 | +description = "High level compatibility layer for multiple asynchronous event loop implementations" | |
| 18 | +optional = false | |
| 19 | +python-versions = ">=3.8" | |
| 20 | +files = [ | |
| 21 | + {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"}, | |
| 22 | + {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"}, | |
| 23 | +] | |
| 24 | + | |
| 25 | +[package.dependencies] | |
| 26 | +idna = ">=2.8" | |
| 27 | +sniffio = ">=1.1" | |
| 28 | + | |
| 29 | +[package.extras] | |
| 30 | +doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] | |
| 31 | +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] | |
| 32 | +trio = ["trio (>=0.23)"] | |
| 33 | + | |
| 34 | +[[package]] | |
| 35 | +name = "av" | |
| 36 | +version = "12.0.0" | |
| 37 | +description = "Pythonic bindings for FFmpeg's libraries." | |
| 38 | +optional = false | |
| 39 | +python-versions = ">=3.8" | |
| 40 | +files = [ | |
| 41 | + {file = "av-12.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b9d0890553951f76c479a9f2bb952aebae902b1c7d52feea614d37e1cd728a44"}, | |
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| 1956 | + {file = "websockets-12.0-cp38-cp38-win_amd64.whl", hash = "sha256:1bf386089178ea69d720f8db6199a0504a406209a0fc23e603b27b300fdd6892"}, | |
| 1957 | + {file = "websockets-12.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:ab3d732ad50a4fbd04a4490ef08acd0517b6ae6b77eb967251f4c263011a990d"}, | |
| 1958 | + {file = "websockets-12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a1d9697f3337a89691e3bd8dc56dea45a6f6d975f92e7d5f773bc715c15dde28"}, | |
| 1959 | + {file = "websockets-12.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1df2fbd2c8a98d38a66f5238484405b8d1d16f929bb7a33ed73e4801222a6f53"}, | |
| 1960 | + {file = "websockets-12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23509452b3bc38e3a057382c2e941d5ac2e01e251acce7adc74011d7d8de434c"}, | |
| 1961 | + {file = "websockets-12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e5fc14ec6ea568200ea4ef46545073da81900a2b67b3e666f04adf53ad452ec"}, | |
| 1962 | + {file = "websockets-12.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46e71dbbd12850224243f5d2aeec90f0aaa0f2dde5aeeb8fc8df21e04d99eff9"}, | |
| 1963 | + {file = "websockets-12.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b81f90dcc6c85a9b7f29873beb56c94c85d6f0dac2ea8b60d995bd18bf3e2aae"}, | |
| 1964 | + {file = "websockets-12.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:a02413bc474feda2849c59ed2dfb2cddb4cd3d2f03a2fedec51d6e959d9b608b"}, | |
| 1965 | + {file = "websockets-12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bbe6013f9f791944ed31ca08b077e26249309639313fff132bfbf3ba105673b9"}, | |
| 1966 | + {file = "websockets-12.0-cp39-cp39-win32.whl", hash = "sha256:cbe83a6bbdf207ff0541de01e11904827540aa069293696dd528a6640bd6a5f6"}, | |
| 1967 | + {file = "websockets-12.0-cp39-cp39-win_amd64.whl", hash = "sha256:fc4e7fa5414512b481a2483775a8e8be7803a35b30ca805afa4998a84f9fd9e8"}, | |
| 1968 | + {file = "websockets-12.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:248d8e2446e13c1d4326e0a6a4e9629cb13a11195051a73acf414812700badbd"}, | |
| 1969 | + {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f44069528d45a933997a6fef143030d8ca8042f0dfaad753e2906398290e2870"}, | |
| 1970 | + {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c4e37d36f0d19f0a4413d3e18c0d03d0c268ada2061868c1e6f5ab1a6d575077"}, | |
| 1971 | + {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d829f975fc2e527a3ef2f9c8f25e553eb7bc779c6665e8e1d52aa22800bb38b"}, | |
| 1972 | + {file = "websockets-12.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:2c71bd45a777433dd9113847af751aae36e448bc6b8c361a566cb043eda6ec30"}, | |
| 1973 | + {file = "websockets-12.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0bee75f400895aef54157b36ed6d3b308fcab62e5260703add87f44cee9c82a6"}, | |
| 1974 | + {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:423fc1ed29f7512fceb727e2d2aecb952c46aa34895e9ed96071821309951123"}, | |
| 1975 | + {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27a5e9964ef509016759f2ef3f2c1e13f403725a5e6a1775555994966a66e931"}, | |
| 1976 | + {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3181df4583c4d3994d31fb235dc681d2aaad744fbdbf94c4802485ececdecf2"}, | |
| 1977 | + {file = "websockets-12.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b067cb952ce8bf40115f6c19f478dc71c5e719b7fbaa511359795dfd9d1a6468"}, | |
| 1978 | + {file = "websockets-12.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:00700340c6c7ab788f176d118775202aadea7602c5cc6be6ae127761c16d6b0b"}, | |
| 1979 | + {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e469d01137942849cff40517c97a30a93ae79917752b34029f0ec72df6b46399"}, | |
| 1980 | + {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffefa1374cd508d633646d51a8e9277763a9b78ae71324183693959cf94635a7"}, | |
| 1981 | + {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba0cab91b3956dfa9f512147860783a1829a8d905ee218a9837c18f683239611"}, | |
| 1982 | + {file = "websockets-12.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2cb388a5bfb56df4d9a406783b7f9dbefb888c09b71629351cc6b036e9259370"}, | |
| 1983 | + {file = "websockets-12.0-py3-none-any.whl", hash = "sha256:dc284bbc8d7c78a6c69e0c7325ab46ee5e40bb4d50e494d8131a07ef47500e9e"}, | |
| 1984 | + {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"}, | |
| 1985 | +] | |
| 1986 | + | |
| 1987 | +[[package]] | |
| 1988 | +name = "wsproto" | |
| 1989 | +version = "1.2.0" | |
| 1990 | +description = "WebSockets state-machine based protocol implementation" | |
| 1991 | +optional = false | |
| 1992 | +python-versions = ">=3.7.0" | |
| 1993 | +files = [ | |
| 1994 | + {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"}, | |
| 1995 | + {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"}, | |
| 1996 | +] | |
| 1997 | + | |
| 1998 | +[package.dependencies] | |
| 1999 | +h11 = ">=0.9.0,<1" | |
| 2000 | + | |
| 2001 | +[metadata] | |
| 2002 | +lock-version = "2.0" | |
| 2003 | +python-versions = "^3.11" | |
| 2004 | +content-hash = "e0b51f82f9a518d33787c9f36f5ba0dca05fb34b74c340312480a477d2da6f5d" |
+++ pyproject.toml
... | ... | @@ -0,0 +1,32 @@ |
| 1 | +[tool.poetry] | |
| 2 | +package-mode = false | |
| 3 | + | |
| 4 | +[tool.poetry.dependencies] | |
| 5 | +python = "^3.11" | |
| 6 | +faster-whisper = "^1.0.2" | |
| 7 | +pydantic = "^2.7.1" | |
| 8 | +fastapi = "^0.111.0" | |
| 9 | +uvicorn = "^0.29.0" | |
| 10 | +python-multipart = "^0.0.9" | |
| 11 | +soundfile = "^0.12.1" | |
| 12 | +pydantic-settings = "^2.2.1" | |
| 13 | +websockets = "^12.0" | |
| 14 | +numpy = "^1.26.4" | |
| 15 | + | |
| 16 | + | |
| 17 | +[tool.poetry.group.dev.dependencies] | |
| 18 | +pytest = "^8.2.0" | |
| 19 | +pytest-asyncio = "^0.23.6" | |
| 20 | +httpx = "^0.27.0" | |
| 21 | +httpx-ws = "^0.6.0" | |
| 22 | +pytest-xdist = "^3.6.1" | |
| 23 | + | |
| 24 | + | |
| 25 | + | |
| 26 | +[tool.poetry.group.client.dependencies] | |
| 27 | +httpx = "^0.27.0" | |
| 28 | +httpx-ws = "^0.6.0" | |
| 29 | + | |
| 30 | +[build-system] | |
| 31 | +requires = ["poetry-core"] | |
| 32 | +build-backend = "poetry.core.masonry.api" |
+++ speaches/__init__.py
... | ... | @@ -0,0 +1,0 @@ |
+++ speaches/asr.py
... | ... | @@ -0,0 +1,80 @@ |
| 1 | +import asyncio | |
| 2 | +import time | |
| 3 | +from typing import Iterable | |
| 4 | + | |
| 5 | +from faster_whisper import transcribe | |
| 6 | +from pydantic import BaseModel | |
| 7 | + | |
| 8 | +from speaches.audio import Audio | |
| 9 | +from speaches.config import Language | |
| 10 | +from speaches.core import Transcription, Word | |
| 11 | +from speaches.logger import logger | |
| 12 | + | |
| 13 | + | |
| 14 | +class TranscribeOpts(BaseModel): | |
| 15 | + language: Language | None | |
| 16 | + vad_filter: bool | |
| 17 | + condition_on_previous_text: bool | |
| 18 | + | |
| 19 | + | |
| 20 | +class FasterWhisperASR: | |
| 21 | + def __init__( | |
| 22 | + self, | |
| 23 | + whisper: transcribe.WhisperModel, | |
| 24 | + transcribe_opts: TranscribeOpts, | |
| 25 | + ) -> None: | |
| 26 | + self.whisper = whisper | |
| 27 | + self.transcribe_opts = transcribe_opts | |
| 28 | + | |
| 29 | + def _transcribe( | |
| 30 | + self, | |
| 31 | + audio: Audio, | |
| 32 | + prompt: str | None = None, | |
| 33 | + ) -> tuple[Transcription, transcribe.TranscriptionInfo]: | |
| 34 | + start = time.perf_counter() | |
| 35 | + segments, transcription_info = self.whisper.transcribe( | |
| 36 | + audio.data, | |
| 37 | + initial_prompt=prompt, | |
| 38 | + word_timestamps=True, | |
| 39 | + **self.transcribe_opts.model_dump(), | |
| 40 | + ) | |
| 41 | + words = words_from_whisper_segments(segments) | |
| 42 | + for word in words: | |
| 43 | + word.offset(audio.start) | |
| 44 | + transcription = Transcription(words) | |
| 45 | + end = time.perf_counter() | |
| 46 | + logger.info( | |
| 47 | + f"Transcribed {audio} in {end - start:.2f} seconds. Prompt: {prompt}. Transcription: {transcription.text}" | |
| 48 | + ) | |
| 49 | + return (transcription, transcription_info) | |
| 50 | + | |
| 51 | + async def transcribe( | |
| 52 | + self, | |
| 53 | + audio: Audio, | |
| 54 | + prompt: str | None = None, | |
| 55 | + ) -> tuple[Transcription, transcribe.TranscriptionInfo]: | |
| 56 | + """Wrapper around _transcribe so it can be used in async context""" | |
| 57 | + # is this the optimal way to execute a blocking call in an async context? | |
| 58 | + # TODO: verify performance when running inference on a CPU | |
| 59 | + return await asyncio.get_running_loop().run_in_executor( | |
| 60 | + None, | |
| 61 | + self._transcribe, | |
| 62 | + audio, | |
| 63 | + prompt, | |
| 64 | + ) | |
| 65 | + | |
| 66 | + | |
| 67 | +def words_from_whisper_segments(segments: Iterable[transcribe.Segment]) -> list[Word]: | |
| 68 | + words: list[Word] = [] | |
| 69 | + for segment in segments: | |
| 70 | + assert segment.words is not None | |
| 71 | + words.extend( | |
| 72 | + Word( | |
| 73 | + start=word.start, | |
| 74 | + end=word.end, | |
| 75 | + text=word.word, | |
| 76 | + probability=word.probability, | |
| 77 | + ) | |
| 78 | + for word in segment.words | |
| 79 | + ) | |
| 80 | + return words |
+++ speaches/audio.py
... | ... | @@ -0,0 +1,96 @@ |
| 1 | +from __future__ import annotations | |
| 2 | + | |
| 3 | +import asyncio | |
| 4 | +from typing import AsyncGenerator, BinaryIO | |
| 5 | + | |
| 6 | +import numpy as np | |
| 7 | +import soundfile as sf | |
| 8 | +from numpy.typing import NDArray | |
| 9 | + | |
| 10 | +from speaches.config import SAMPLES_PER_SECOND | |
| 11 | +from speaches.logger import logger | |
| 12 | + | |
| 13 | + | |
| 14 | +def audio_samples_from_file(file: BinaryIO) -> NDArray[np.float32]: | |
| 15 | + audio_and_sample_rate: tuple[NDArray[np.float32], Any] = sf.read( # type: ignore | |
| 16 | + file, | |
| 17 | + format="RAW", | |
| 18 | + channels=1, | |
| 19 | + samplerate=SAMPLES_PER_SECOND, | |
| 20 | + subtype="PCM_16", | |
| 21 | + dtype="float32", | |
| 22 | + endian="LITTLE", | |
| 23 | + ) | |
| 24 | + audio = audio_and_sample_rate[0] | |
| 25 | + return audio | |
| 26 | + | |
| 27 | + | |
| 28 | +class Audio: | |
| 29 | + def __init__( | |
| 30 | + self, | |
| 31 | + data: NDArray[np.float32] = np.array([], dtype=np.float32), | |
| 32 | + start: float = 0.0, | |
| 33 | + ) -> None: | |
| 34 | + self.data = data | |
| 35 | + self.start = start | |
| 36 | + | |
| 37 | + def __repr__(self) -> str: | |
| 38 | + return f"Audio(start={self.start:.2f}, end={self.end:.2f})" | |
| 39 | + | |
| 40 | + @property | |
| 41 | + def end(self) -> float: | |
| 42 | + return self.start + self.duration | |
| 43 | + | |
| 44 | + @property | |
| 45 | + def duration(self) -> float: | |
| 46 | + return len(self.data) / SAMPLES_PER_SECOND | |
| 47 | + | |
| 48 | + def after(self, ts: float) -> Audio: | |
| 49 | + assert ts <= self.duration | |
| 50 | + return Audio(self.data[int(ts * SAMPLES_PER_SECOND) :], start=ts) | |
| 51 | + | |
| 52 | + def extend(self, data: NDArray[np.float32]) -> None: | |
| 53 | + # logger.debug(f"Extending audio by {len(data) / SAMPLES_PER_SECOND:.2f}s") | |
| 54 | + self.data = np.append(self.data, data) | |
| 55 | + # logger.debug(f"Audio duration: {self.duration:.2f}s") | |
| 56 | + | |
| 57 | + | |
| 58 | +# TODO: trim data longer than x | |
| 59 | +class AudioStream(Audio): | |
| 60 | + def __init__( | |
| 61 | + self, | |
| 62 | + data: NDArray[np.float32] = np.array([], dtype=np.float32), | |
| 63 | + start: float = 0.0, | |
| 64 | + ) -> None: | |
| 65 | + super().__init__(data, start) | |
| 66 | + self.closed = False | |
| 67 | + | |
| 68 | + self.modify_event = asyncio.Event() | |
| 69 | + | |
| 70 | + def extend(self, data: NDArray[np.float32]) -> None: | |
| 71 | + assert self.closed == False | |
| 72 | + super().extend(data) | |
| 73 | + self.modify_event.set() | |
| 74 | + | |
| 75 | + def close(self) -> None: | |
| 76 | + assert self.closed == False | |
| 77 | + self.closed = True | |
| 78 | + self.modify_event.set() | |
| 79 | + logger.info("AudioStream closed") | |
| 80 | + | |
| 81 | + async def chunks( | |
| 82 | + self, min_duration: float | |
| 83 | + ) -> AsyncGenerator[NDArray[np.float32], None]: | |
| 84 | + i = 0.0 # end time of last chunk | |
| 85 | + while True: | |
| 86 | + await self.modify_event.wait() | |
| 87 | + self.modify_event.clear() | |
| 88 | + if self.closed or self.duration - i >= min_duration: | |
| 89 | + # If `i` shouldn't be set to `duration` after the yield | |
| 90 | + # because by the time assignment would happen more data might have been added | |
| 91 | + i_ = i | |
| 92 | + i = self.duration | |
| 93 | + # NOTE: probably better to just to a slice | |
| 94 | + yield self.after(i_).data | |
| 95 | + if self.closed: | |
| 96 | + return |
+++ speaches/client.py
... | ... | @@ -0,0 +1,94 @@ |
| 1 | +# TODO: move out of `speaches` package | |
| 2 | +import asyncio | |
| 3 | +import signal | |
| 4 | + | |
| 5 | +import httpx | |
| 6 | +from httpx_ws import AsyncWebSocketSession, WebSocketDisconnect, aconnect_ws | |
| 7 | +from wsproto.connection import ConnectionState | |
| 8 | + | |
| 9 | +CHUNK = 1024 * 4 | |
| 10 | +AUDIO_RECORD_CMD = "arecord -D default -f S16_LE -r 16000 -c 1 -t raw" | |
| 11 | +COPY_TO_CLIPBOARD_CMD = "wl-copy" | |
| 12 | +NOTIFY_CMD = "notify-desktop" | |
| 13 | + | |
| 14 | +client = httpx.AsyncClient(base_url="ws://localhost:8000") | |
| 15 | + | |
| 16 | + | |
| 17 | +async def audio_sender(ws: AsyncWebSocketSession) -> None: | |
| 18 | + process = await asyncio.create_subprocess_shell( | |
| 19 | + AUDIO_RECORD_CMD, | |
| 20 | + stdout=asyncio.subprocess.PIPE, | |
| 21 | + stderr=asyncio.subprocess.DEVNULL, | |
| 22 | + ) | |
| 23 | + assert process.stdout is not None | |
| 24 | + try: | |
| 25 | + while not process.stdout.at_eof(): | |
| 26 | + data = await process.stdout.read(CHUNK) | |
| 27 | + if ws.connection.state != ConnectionState.OPEN: | |
| 28 | + break | |
| 29 | + await ws.send_bytes(data) | |
| 30 | + except Exception as e: | |
| 31 | + print(e) | |
| 32 | + finally: | |
| 33 | + process.kill() | |
| 34 | + | |
| 35 | + | |
| 36 | +async def transcription_receiver(ws: AsyncWebSocketSession) -> None: | |
| 37 | + transcription = "" | |
| 38 | + notification_id: int | None = None | |
| 39 | + try: | |
| 40 | + while True: | |
| 41 | + data = await ws.receive_text() | |
| 42 | + if not data: | |
| 43 | + break | |
| 44 | + transcription += data | |
| 45 | + await copy_to_clipboard(transcription) | |
| 46 | + notification_id = await notify(transcription, replaces_id=notification_id) | |
| 47 | + except WebSocketDisconnect: | |
| 48 | + pass | |
| 49 | + print(transcription) | |
| 50 | + | |
| 51 | + | |
| 52 | +async def copy_to_clipboard(text: str) -> None: | |
| 53 | + process = await asyncio.create_subprocess_shell( | |
| 54 | + COPY_TO_CLIPBOARD_CMD, stdin=asyncio.subprocess.PIPE | |
| 55 | + ) | |
| 56 | + await process.communicate(input=text.encode("utf-8")) | |
| 57 | + await process.wait() | |
| 58 | + | |
| 59 | + | |
| 60 | +async def notify(text: str, replaces_id: int | None = None) -> int: | |
| 61 | + cmd = ["notify-desktop", "--app-name", "Speaches"] | |
| 62 | + if replaces_id is not None: | |
| 63 | + cmd.extend(["--replaces-id", str(replaces_id)]) | |
| 64 | + cmd.append("'Speaches'") | |
| 65 | + cmd.append(f"'{text}'") | |
| 66 | + process = await asyncio.create_subprocess_shell( | |
| 67 | + " ".join(cmd), | |
| 68 | + stdout=asyncio.subprocess.PIPE, | |
| 69 | + ) | |
| 70 | + await process.wait() | |
| 71 | + assert process.stdout is not None | |
| 72 | + notification_id = (await process.stdout.read()).decode("utf-8") | |
| 73 | + return int(notification_id) | |
| 74 | + | |
| 75 | + | |
| 76 | +async def main() -> None: | |
| 77 | + async with aconnect_ws("/v1/audio/transcriptions", client) as ws: | |
| 78 | + async with asyncio.TaskGroup() as tg: | |
| 79 | + sender_task = tg.create_task(audio_sender(ws)) | |
| 80 | + receiver_task = tg.create_task(transcription_receiver(ws)) | |
| 81 | + | |
| 82 | + async def on_interrupt(): | |
| 83 | + sender_task.cancel() | |
| 84 | + receiver_task.cancel() | |
| 85 | + await asyncio.gather(sender_task, receiver_task) | |
| 86 | + | |
| 87 | + asyncio.get_running_loop().add_signal_handler( | |
| 88 | + signal.SIGINT, | |
| 89 | + lambda: asyncio.create_task(on_interrupt()), | |
| 90 | + ) | |
| 91 | + | |
| 92 | + | |
| 93 | +asyncio.run(main()) | |
| 94 | +# poetry --directory /home/nixos/code/speaches run python /home/nixos/code/speaches/speaches/client.py |
+++ speaches/config.py
... | ... | @@ -0,0 +1,176 @@ |
| 1 | +import enum | |
| 2 | + | |
| 3 | +from pydantic import BaseModel, Field | |
| 4 | +from pydantic_settings import BaseSettings, SettingsConfigDict | |
| 5 | + | |
| 6 | +SAMPLES_PER_SECOND = 16000 | |
| 7 | +BYTES_PER_SAMPLE = 2 | |
| 8 | +BYTES_PER_SECOND = SAMPLES_PER_SECOND * BYTES_PER_SAMPLE | |
| 9 | +# 2 BYTES = 16 BITS = 1 SAMPLE | |
| 10 | +# 1 SECOND OF AUDIO = 32000 BYTES = 16000 SAMPLES | |
| 11 | + | |
| 12 | + | |
| 13 | +# TODO: confirm names | |
| 14 | +class Model(enum.StrEnum): | |
| 15 | + TINY_EN = "tiny.en" | |
| 16 | + TINY = "tiny" | |
| 17 | + BASE_EN = "base.en" | |
| 18 | + BASE = "base" | |
| 19 | + SMALL_EN = "small.en" | |
| 20 | + SMALL = "small" | |
| 21 | + MEDIUM_EN = "medium.en" | |
| 22 | + MEDIUM = "medium" | |
| 23 | + LARGE = "large" | |
| 24 | + LARGE_V1 = "large-v1" | |
| 25 | + LARGE_V2 = "large-v2" | |
| 26 | + LARGE_V3 = "large-v3" | |
| 27 | + DISTIL_SMALL_EN = "distil-small.en" | |
| 28 | + DISTIL_MEDIUM_EN = "distil-medium.en" | |
| 29 | + DISTIL_LARGE_V2 = "distil-large-v2" | |
| 30 | + DISTIL_LARGE_V3 = "distil-large-v3" | |
| 31 | + | |
| 32 | + | |
| 33 | +class Device(enum.StrEnum): | |
| 34 | + CPU = "cpu" | |
| 35 | + CUDA = "cuda" | |
| 36 | + AUTO = "auto" | |
| 37 | + | |
| 38 | + | |
| 39 | +# https://github.com/OpenNMT/CTranslate2/blob/master/docs/quantization.md | |
| 40 | +class Quantization(enum.StrEnum): | |
| 41 | + INT8 = "int8" | |
| 42 | + INT8_FLOAT16 = "int8_float16" | |
| 43 | + INT8_BFLOAT16 = "int8_bfloat16" | |
| 44 | + INT8_FLOAT32 = "int8_float32" | |
| 45 | + INT16 = "int16" | |
| 46 | + FLOAT16 = "float16" | |
| 47 | + BFLOAT16 = "bfloat16" | |
| 48 | + FLOAT32 = "float32" | |
| 49 | + DEFAULT = "default" | |
| 50 | + | |
| 51 | + | |
| 52 | +class Language(enum.StrEnum): | |
| 53 | + AF = "af" | |
| 54 | + AM = "am" | |
| 55 | + AR = "ar" | |
| 56 | + AS = "as" | |
| 57 | + AZ = "az" | |
| 58 | + BA = "ba" | |
| 59 | + BE = "be" | |
| 60 | + BG = "bg" | |
| 61 | + BN = "bn" | |
| 62 | + BO = "bo" | |
| 63 | + BR = "br" | |
| 64 | + BS = "bs" | |
| 65 | + CA = "ca" | |
| 66 | + CS = "cs" | |
| 67 | + CY = "cy" | |
| 68 | + DA = "da" | |
| 69 | + DE = "de" | |
| 70 | + EL = "el" | |
| 71 | + EN = "en" | |
| 72 | + ES = "es" | |
| 73 | + ET = "et" | |
| 74 | + EU = "eu" | |
| 75 | + FA = "fa" | |
| 76 | + FI = "fi" | |
| 77 | + FO = "fo" | |
| 78 | + FR = "fr" | |
| 79 | + GL = "gl" | |
| 80 | + GU = "gu" | |
| 81 | + HA = "ha" | |
| 82 | + HAW = "haw" | |
| 83 | + HE = "he" | |
| 84 | + HI = "hi" | |
| 85 | + HR = "hr" | |
| 86 | + HT = "ht" | |
| 87 | + HU = "hu" | |
| 88 | + HY = "hy" | |
| 89 | + ID = "id" | |
| 90 | + IS = "is" | |
| 91 | + IT = "it" | |
| 92 | + JA = "ja" | |
| 93 | + JW = "jw" | |
| 94 | + KA = "ka" | |
| 95 | + KK = "kk" | |
| 96 | + KM = "km" | |
| 97 | + KN = "kn" | |
| 98 | + KO = "ko" | |
| 99 | + LA = "la" | |
| 100 | + LB = "lb" | |
| 101 | + LN = "ln" | |
| 102 | + LO = "lo" | |
| 103 | + LT = "lt" | |
| 104 | + LV = "lv" | |
| 105 | + MG = "mg" | |
| 106 | + MI = "mi" | |
| 107 | + MK = "mk" | |
| 108 | + ML = "ml" | |
| 109 | + MN = "mn" | |
| 110 | + MR = "mr" | |
| 111 | + MS = "ms" | |
| 112 | + MT = "mt" | |
| 113 | + MY = "my" | |
| 114 | + NE = "ne" | |
| 115 | + NL = "nl" | |
| 116 | + NN = "nn" | |
| 117 | + NO = "no" | |
| 118 | + OC = "oc" | |
| 119 | + PA = "pa" | |
| 120 | + PL = "pl" | |
| 121 | + PS = "ps" | |
| 122 | + PT = "pt" | |
| 123 | + RO = "ro" | |
| 124 | + RU = "ru" | |
| 125 | + SA = "sa" | |
| 126 | + SD = "sd" | |
| 127 | + SI = "si" | |
| 128 | + SK = "sk" | |
| 129 | + SL = "sl" | |
| 130 | + SN = "sn" | |
| 131 | + SO = "so" | |
| 132 | + SQ = "sq" | |
| 133 | + SR = "sr" | |
| 134 | + SU = "su" | |
| 135 | + SV = "sv" | |
| 136 | + SW = "sw" | |
| 137 | + TA = "ta" | |
| 138 | + TE = "te" | |
| 139 | + TG = "tg" | |
| 140 | + TH = "th" | |
| 141 | + TK = "tk" | |
| 142 | + TL = "tl" | |
| 143 | + TR = "tr" | |
| 144 | + TT = "tt" | |
| 145 | + UK = "uk" | |
| 146 | + UR = "ur" | |
| 147 | + UZ = "uz" | |
| 148 | + VI = "vi" | |
| 149 | + YI = "yi" | |
| 150 | + YO = "yo" | |
| 151 | + YUE = "yue" | |
| 152 | + ZH = "zh" | |
| 153 | + | |
| 154 | + | |
| 155 | +class WhisperConfig(BaseModel): | |
| 156 | + model: Model = Field(default=Model.DISTIL_SMALL_EN) | |
| 157 | + inference_device: Device = Field(default=Device.AUTO) | |
| 158 | + compute_type: Quantization = Field(default=Quantization.DEFAULT) | |
| 159 | + | |
| 160 | + | |
| 161 | +class Config(BaseSettings): | |
| 162 | + model_config = SettingsConfigDict(env_nested_delimiter="_") | |
| 163 | + | |
| 164 | + log_level: str = "info" | |
| 165 | + whisper: WhisperConfig = WhisperConfig() | |
| 166 | + """ | |
| 167 | + Max duration to for the next audio chunk before finilizing the transcription and closing the connection. | |
| 168 | + """ | |
| 169 | + max_no_data_seconds: float = 1.0 | |
| 170 | + min_duration: float = 1.0 | |
| 171 | + word_timestamp_error_margin: float = 0.2 | |
| 172 | + inactivity_window_seconds: float = 3.0 | |
| 173 | + max_inactivity_seconds: float = 1.5 | |
| 174 | + | |
| 175 | + | |
| 176 | +config = Config() |
+++ speaches/core.py
... | ... | @@ -0,0 +1,207 @@ |
| 1 | +# TODO: rename module | |
| 2 | +from __future__ import annotations | |
| 3 | + | |
| 4 | +import re | |
| 5 | +from dataclasses import dataclass | |
| 6 | + | |
| 7 | +from speaches.config import config | |
| 8 | + | |
| 9 | + | |
| 10 | +# TODO: use the `Segment` from `faster-whisper.transcribe` instead | |
| 11 | +@dataclass | |
| 12 | +class Segment: | |
| 13 | + text: str | |
| 14 | + start: float = 0.0 | |
| 15 | + end: float = 0.0 | |
| 16 | + | |
| 17 | + @property | |
| 18 | + def is_eos(self) -> bool: | |
| 19 | + if self.text.endswith("..."): | |
| 20 | + return False | |
| 21 | + for punctuation_symbol in ".?!": | |
| 22 | + if self.text.endswith(punctuation_symbol): | |
| 23 | + return True | |
| 24 | + return False | |
| 25 | + | |
| 26 | + def offset(self, seconds: float) -> None: | |
| 27 | + self.start += seconds | |
| 28 | + self.end += seconds | |
| 29 | + | |
| 30 | + | |
| 31 | +# TODO: use the `Word` from `faster-whisper.transcribe` instead | |
| 32 | +@dataclass | |
| 33 | +class Word(Segment): | |
| 34 | + probability: float = 0.0 | |
| 35 | + | |
| 36 | + @classmethod | |
| 37 | + def common_prefix(cls, a: list[Word], b: list[Word]) -> list[Word]: | |
| 38 | + i = 0 | |
| 39 | + while ( | |
| 40 | + i < len(a) | |
| 41 | + and i < len(b) | |
| 42 | + and canonicalize_word(a[i].text) == canonicalize_word(b[i].text) | |
| 43 | + ): | |
| 44 | + i += 1 | |
| 45 | + return a[:i] | |
| 46 | + | |
| 47 | + | |
| 48 | +class Transcription: | |
| 49 | + def __init__(self, words: list[Word] = []) -> None: | |
| 50 | + self.words: list[Word] = [] | |
| 51 | + self.extend(words) | |
| 52 | + | |
| 53 | + @property | |
| 54 | + def text(self) -> str: | |
| 55 | + return " ".join(word.text for word in self.words).strip() | |
| 56 | + | |
| 57 | + @property | |
| 58 | + def start(self) -> float: | |
| 59 | + return self.words[0].start if len(self.words) > 0 else 0.0 | |
| 60 | + | |
| 61 | + @property | |
| 62 | + def end(self) -> float: | |
| 63 | + return self.words[-1].end if len(self.words) > 0 else 0.0 | |
| 64 | + | |
| 65 | + @property | |
| 66 | + def duration(self) -> float: | |
| 67 | + return self.end - self.start | |
| 68 | + | |
| 69 | + def after(self, seconds: float) -> Transcription: | |
| 70 | + return Transcription( | |
| 71 | + words=[word for word in self.words if word.start > seconds] | |
| 72 | + ) | |
| 73 | + | |
| 74 | + def extend(self, words: list[Word]) -> None: | |
| 75 | + self._ensure_no_word_overlap(words) | |
| 76 | + self.words.extend(words) | |
| 77 | + | |
| 78 | + def _ensure_no_word_overlap(self, words: list[Word]) -> None: | |
| 79 | + if len(self.words) > 0 and len(words) > 0: | |
| 80 | + if ( | |
| 81 | + words[0].start + config.word_timestamp_error_margin | |
| 82 | + <= self.words[-1].end | |
| 83 | + ): | |
| 84 | + raise ValueError( | |
| 85 | + f"Words overlap: {self.words[-1]} and {words[0]}. Error margin: {config.word_timestamp_error_margin}" | |
| 86 | + ) | |
| 87 | + for i in range(1, len(words)): | |
| 88 | + if words[i].start + config.word_timestamp_error_margin <= words[i - 1].end: | |
| 89 | + raise ValueError( | |
| 90 | + f"Words overlap: {words[i - 1]} and {words[i]}. All words: {words}" | |
| 91 | + ) | |
| 92 | + | |
| 93 | + | |
| 94 | +def test_segment_is_eos(): | |
| 95 | + assert Segment("Hello").is_eos == False | |
| 96 | + assert Segment("Hello...").is_eos == False | |
| 97 | + assert Segment("Hello.").is_eos == True | |
| 98 | + assert Segment("Hello!").is_eos == True | |
| 99 | + assert Segment("Hello?").is_eos == True | |
| 100 | + assert Segment("Hello. Yo").is_eos == False | |
| 101 | + assert Segment("Hello. Yo...").is_eos == False | |
| 102 | + assert Segment("Hello. Yo.").is_eos == True | |
| 103 | + | |
| 104 | + | |
| 105 | +def to_full_sentences(words: list[Word]) -> list[Segment]: | |
| 106 | + sentences: list[Segment] = [Segment("")] | |
| 107 | + for word in words: | |
| 108 | + sentences[-1] = Segment( | |
| 109 | + start=sentences[-1].start, | |
| 110 | + end=word.end, | |
| 111 | + text=sentences[-1].text + word.text, | |
| 112 | + ) | |
| 113 | + if word.is_eos: | |
| 114 | + sentences.append(Segment("")) | |
| 115 | + if len(sentences) > 0 and not sentences[-1].is_eos: | |
| 116 | + sentences.pop() | |
| 117 | + return sentences | |
| 118 | + | |
| 119 | + | |
| 120 | +def tests_to_full_sentences(): | |
| 121 | + assert to_full_sentences([]) == [] | |
| 122 | + assert to_full_sentences([Word(text="Hello")]) == [] | |
| 123 | + assert to_full_sentences([Word(text="Hello..."), Word(" world")]) == [] | |
| 124 | + assert to_full_sentences([Word(text="Hello..."), Word(" world.")]) == [ | |
| 125 | + Segment(text="Hello... world.") | |
| 126 | + ] | |
| 127 | + assert to_full_sentences( | |
| 128 | + [Word(text="Hello..."), Word(" world."), Word(" How")] | |
| 129 | + ) == [Segment(text="Hello... world.")] | |
| 130 | + | |
| 131 | + | |
| 132 | +def to_text(words: list[Word]) -> str: | |
| 133 | + return "".join(word.text for word in words) | |
| 134 | + | |
| 135 | + | |
| 136 | +def to_text_w_ts(words: list[Word]) -> str: | |
| 137 | + return "".join(f"{word.text}({word.start:.2f}-{word.end:.2f})" for word in words) | |
| 138 | + | |
| 139 | + | |
| 140 | +def canonicalize_word(text: str) -> str: | |
| 141 | + text = text.lower() | |
| 142 | + # Remove non-alphabetic characters using regular expression | |
| 143 | + text = re.sub(r"[^a-z]", "", text) | |
| 144 | + return text.lower().strip().strip(".,?!") | |
| 145 | + | |
| 146 | + | |
| 147 | +def test_canonicalize_word(): | |
| 148 | + assert canonicalize_word("ABC") == "abc" | |
| 149 | + assert canonicalize_word("...ABC?") == "abc" | |
| 150 | + assert canonicalize_word("... AbC ...") == "abc" | |
| 151 | + | |
| 152 | + | |
| 153 | +def common_prefix(a: list[Word], b: list[Word]) -> list[Word]: | |
| 154 | + i = 0 | |
| 155 | + while ( | |
| 156 | + i < len(a) | |
| 157 | + and i < len(b) | |
| 158 | + and canonicalize_word(a[i].text) == canonicalize_word(b[i].text) | |
| 159 | + ): | |
| 160 | + i += 1 | |
| 161 | + return a[:i] | |
| 162 | + | |
| 163 | + | |
| 164 | +def test_common_prefix(): | |
| 165 | + def word(text: str) -> Word: | |
| 166 | + return Word(text=text, start=0.0, end=0.0, probability=0.0) | |
| 167 | + | |
| 168 | + a = [word("a"), word("b"), word("c")] | |
| 169 | + b = [word("a"), word("b"), word("c")] | |
| 170 | + assert common_prefix(a, b) == [word("a"), word("b"), word("c")] | |
| 171 | + | |
| 172 | + a = [word("a"), word("b"), word("c")] | |
| 173 | + b = [word("a"), word("b"), word("d")] | |
| 174 | + assert common_prefix(a, b) == [word("a"), word("b")] | |
| 175 | + | |
| 176 | + a = [word("a"), word("b"), word("c")] | |
| 177 | + b = [word("a")] | |
| 178 | + assert common_prefix(a, b) == [word("a")] | |
| 179 | + | |
| 180 | + a = [word("a")] | |
| 181 | + b = [word("a"), word("b"), word("c")] | |
| 182 | + assert common_prefix(a, b) == [word("a")] | |
| 183 | + | |
| 184 | + a = [word("a")] | |
| 185 | + b = [] | |
| 186 | + assert common_prefix(a, b) == [] | |
| 187 | + | |
| 188 | + a = [] | |
| 189 | + b = [word("a")] | |
| 190 | + assert common_prefix(a, b) == [] | |
| 191 | + | |
| 192 | + a = [word("a"), word("b"), word("c")] | |
| 193 | + b = [word("b"), word("c")] | |
| 194 | + assert common_prefix(a, b) == [] | |
| 195 | + | |
| 196 | + | |
| 197 | +def test_common_prefix_and_canonicalization(): | |
| 198 | + def word(text: str) -> Word: | |
| 199 | + return Word(text=text, start=0.0, end=0.0, probability=0.0) | |
| 200 | + | |
| 201 | + a = [word("A...")] | |
| 202 | + b = [word("a?"), word("b"), word("c")] | |
| 203 | + assert common_prefix(a, b) == [word("A...")] | |
| 204 | + | |
| 205 | + a = [word("A..."), word("B?"), word("C,")] | |
| 206 | + b = [word("a??"), word(" b"), word(" ,c")] | |
| 207 | + assert common_prefix(a, b) == [word("A..."), word("B?"), word("C,")] |
+++ speaches/logger.py
... | ... | @@ -0,0 +1,13 @@ |
| 1 | +import logging | |
| 2 | + | |
| 3 | +from speaches.config import config | |
| 4 | + | |
| 5 | +# Disables all but `speaches` logger | |
| 6 | + | |
| 7 | +root_logger = logging.getLogger() | |
| 8 | +root_logger.setLevel(logging.CRITICAL) | |
| 9 | +logger = logging.getLogger(__name__) | |
| 10 | +logger.setLevel(config.log_level.upper()) | |
| 11 | +logging.basicConfig( | |
| 12 | + format="%(asctime)s:%(levelname)s:%(name)s:%(funcName)s:%(message)s" | |
| 13 | +) |
+++ speaches/main.py
... | ... | @@ -0,0 +1,162 @@ |
| 1 | +from __future__ import annotations | |
| 2 | + | |
| 3 | +import asyncio | |
| 4 | +import logging | |
| 5 | +import time | |
| 6 | +from contextlib import asynccontextmanager | |
| 7 | +from io import BytesIO | |
| 8 | +from typing import Annotated | |
| 9 | + | |
| 10 | +from fastapi import ( | |
| 11 | + Depends, | |
| 12 | + FastAPI, | |
| 13 | + Response, | |
| 14 | + UploadFile, | |
| 15 | + WebSocket, | |
| 16 | + WebSocketDisconnect, | |
| 17 | +) | |
| 18 | +from fastapi.websockets import WebSocketState | |
| 19 | +from faster_whisper import WhisperModel | |
| 20 | +from faster_whisper.vad import VadOptions, get_speech_timestamps | |
| 21 | + | |
| 22 | +from speaches.asr import FasterWhisperASR, TranscribeOpts | |
| 23 | +from speaches.audio import AudioStream, audio_samples_from_file | |
| 24 | +from speaches.config import SAMPLES_PER_SECOND, Language, config | |
| 25 | +from speaches.core import Transcription | |
| 26 | +from speaches.logger import logger | |
| 27 | +from speaches.server_models import ( | |
| 28 | + ResponseFormat, | |
| 29 | + TranscriptionResponse, | |
| 30 | + TranscriptionVerboseResponse, | |
| 31 | +) | |
| 32 | +from speaches.transcriber import audio_transcriber | |
| 33 | + | |
| 34 | +whisper: WhisperModel = None # type: ignore | |
| 35 | + | |
| 36 | + | |
| 37 | +@asynccontextmanager | |
| 38 | +async def lifespan(_: FastAPI): | |
| 39 | + global whisper | |
| 40 | + logging.debug(f"Loading {config.whisper.model}") | |
| 41 | + start = time.perf_counter() | |
| 42 | + whisper = WhisperModel( | |
| 43 | + config.whisper.model, | |
| 44 | + device=config.whisper.inference_device, | |
| 45 | + compute_type=config.whisper.compute_type, | |
| 46 | + ) | |
| 47 | + end = time.perf_counter() | |
| 48 | + logger.debug(f"Loaded {config.whisper.model} loaded in {end - start:.2f} seconds") | |
| 49 | + yield | |
| 50 | + | |
| 51 | + | |
| 52 | +app = FastAPI(lifespan=lifespan) | |
| 53 | + | |
| 54 | + | |
| 55 | +@app.get("/health") | |
| 56 | +def health() -> Response: | |
| 57 | + return Response(status_code=200, content="Everything is peachy!") | |
| 58 | + | |
| 59 | + | |
| 60 | +async def transcription_parameters( | |
| 61 | + language: Language = Language.EN, | |
| 62 | + vad_filter: bool = True, | |
| 63 | + condition_on_previous_text: bool = False, | |
| 64 | +) -> TranscribeOpts: | |
| 65 | + return TranscribeOpts( | |
| 66 | + language=language, | |
| 67 | + vad_filter=vad_filter, | |
| 68 | + condition_on_previous_text=condition_on_previous_text, | |
| 69 | + ) | |
| 70 | + | |
| 71 | + | |
| 72 | +TranscribeParams = Annotated[TranscribeOpts, Depends(transcription_parameters)] | |
| 73 | + | |
| 74 | + | |
| 75 | +@app.post("/v1/audio/transcriptions") | |
| 76 | +async def transcribe_file( | |
| 77 | + file: UploadFile, | |
| 78 | + transcription_opts: TranscribeParams, | |
| 79 | + response_format: ResponseFormat = ResponseFormat.JSON, | |
| 80 | +) -> str: | |
| 81 | + asr = FasterWhisperASR(whisper, transcription_opts) | |
| 82 | + audio_samples = audio_samples_from_file(file.file) | |
| 83 | + audio = AudioStream(audio_samples) | |
| 84 | + transcription, _ = await asr.transcribe(audio) | |
| 85 | + return format_transcription(transcription, response_format) | |
| 86 | + | |
| 87 | + | |
| 88 | +async def audio_receiver(ws: WebSocket, audio_stream: AudioStream) -> None: | |
| 89 | + try: | |
| 90 | + while True: | |
| 91 | + bytes_ = await asyncio.wait_for( | |
| 92 | + ws.receive_bytes(), timeout=config.max_no_data_seconds | |
| 93 | + ) | |
| 94 | + logger.debug(f"Received {len(bytes_)} bytes of audio data") | |
| 95 | + audio_samples = audio_samples_from_file(BytesIO(bytes_)) | |
| 96 | + audio_stream.extend(audio_samples) | |
| 97 | + if audio_stream.duration - config.inactivity_window_seconds >= 0: | |
| 98 | + audio = audio_stream.after( | |
| 99 | + audio_stream.duration - config.inactivity_window_seconds | |
| 100 | + ) | |
| 101 | + vad_opts = VadOptions(min_silence_duration_ms=500, speech_pad_ms=0) | |
| 102 | + timestamps = get_speech_timestamps(audio.data, vad_opts) | |
| 103 | + if len(timestamps) == 0: | |
| 104 | + logger.info( | |
| 105 | + f"No speech detected in the last {config.inactivity_window_seconds} seconds." | |
| 106 | + ) | |
| 107 | + break | |
| 108 | + elif ( | |
| 109 | + # last speech end time | |
| 110 | + config.inactivity_window_seconds | |
| 111 | + - timestamps[-1]["end"] / SAMPLES_PER_SECOND | |
| 112 | + >= config.max_inactivity_seconds | |
| 113 | + ): | |
| 114 | + logger.info( | |
| 115 | + f"Not enough speech in the last {config.inactivity_window_seconds} seconds." | |
| 116 | + ) | |
| 117 | + break | |
| 118 | + except asyncio.TimeoutError: | |
| 119 | + logger.info( | |
| 120 | + f"No data received in {config.max_no_data_seconds} seconds. Closing the connection." | |
| 121 | + ) | |
| 122 | + except WebSocketDisconnect as e: | |
| 123 | + logger.info(f"Client disconnected: {e}") | |
| 124 | + audio_stream.close() | |
| 125 | + | |
| 126 | + | |
| 127 | +def format_transcription( | |
| 128 | + transcription: Transcription, response_format: ResponseFormat | |
| 129 | +) -> str: | |
| 130 | + if response_format == ResponseFormat.TEXT: | |
| 131 | + return transcription.text | |
| 132 | + elif response_format == ResponseFormat.JSON: | |
| 133 | + return TranscriptionResponse(text=transcription.text).model_dump_json() | |
| 134 | + elif response_format == ResponseFormat.VERBOSE_JSON: | |
| 135 | + return TranscriptionVerboseResponse( | |
| 136 | + duration=transcription.duration, | |
| 137 | + text=transcription.text, | |
| 138 | + words=transcription.words, | |
| 139 | + ).model_dump_json() | |
| 140 | + | |
| 141 | + | |
| 142 | +@app.websocket("/v1/audio/transcriptions") | |
| 143 | +async def transcribe_stream( | |
| 144 | + ws: WebSocket, | |
| 145 | + transcription_opts: TranscribeParams, | |
| 146 | + response_format: ResponseFormat = ResponseFormat.JSON, | |
| 147 | +) -> None: | |
| 148 | + await ws.accept() | |
| 149 | + asr = FasterWhisperASR(whisper, transcription_opts) | |
| 150 | + audio_stream = AudioStream() | |
| 151 | + async with asyncio.TaskGroup() as tg: | |
| 152 | + tg.create_task(audio_receiver(ws, audio_stream)) | |
| 153 | + async for transcription in audio_transcriber(asr, audio_stream): | |
| 154 | + logger.debug(f"Sending transcription: {transcription.text}") | |
| 155 | + # Or should it be | |
| 156 | + if ws.client_state == WebSocketState.DISCONNECTED: | |
| 157 | + break | |
| 158 | + await ws.send_text(format_transcription(transcription, response_format)) | |
| 159 | + | |
| 160 | + if not ws.client_state == WebSocketState.DISCONNECTED: | |
| 161 | + # this means that the client HASNT disconnected | |
| 162 | + await ws.close() |
+++ speaches/server_models.py
... | ... | @@ -0,0 +1,26 @@ |
| 1 | +import enum | |
| 2 | + | |
| 3 | +from pydantic import BaseModel | |
| 4 | + | |
| 5 | +from speaches.core import Word | |
| 6 | + | |
| 7 | + | |
| 8 | +class ResponseFormat(enum.StrEnum): | |
| 9 | + JSON = "json" | |
| 10 | + TEXT = "text" | |
| 11 | + VERBOSE_JSON = "verbose_json" | |
| 12 | + | |
| 13 | + | |
| 14 | +# https://platform.openai.com/docs/api-reference/audio/json-object | |
| 15 | +class TranscriptionResponse(BaseModel): | |
| 16 | + text: str | |
| 17 | + | |
| 18 | + | |
| 19 | +# Subset of https://platform.openai.com/docs/api-reference/audio/verbose-json-object | |
| 20 | +class TranscriptionVerboseResponse(BaseModel): | |
| 21 | + task: str = "transcribe" | |
| 22 | + duration: float | |
| 23 | + text: str | |
| 24 | + words: list[ | |
| 25 | + Word | |
| 26 | + ] # Different from OpenAI's `words`. `Word.text` instead of `Word.word` |
+++ speaches/transcriber.py
... | ... | @@ -0,0 +1,75 @@ |
| 1 | +from __future__ import annotations | |
| 2 | + | |
| 3 | +from typing import AsyncGenerator | |
| 4 | + | |
| 5 | +from speaches.asr import FasterWhisperASR | |
| 6 | +from speaches.audio import Audio, AudioStream | |
| 7 | +from speaches.config import config | |
| 8 | +from speaches.core import Transcription, Word, common_prefix, to_full_sentences | |
| 9 | +from speaches.logger import logger | |
| 10 | + | |
| 11 | + | |
| 12 | +class LocalAgreement: | |
| 13 | + def __init__(self) -> None: | |
| 14 | + self.unconfirmed = Transcription() | |
| 15 | + | |
| 16 | + def merge(self, confirmed: Transcription, incoming: Transcription) -> list[Word]: | |
| 17 | + # https://github.com/ufal/whisper_streaming/blob/main/whisper_online.py#L264 | |
| 18 | + incoming = incoming.after(confirmed.end - 0.1) | |
| 19 | + prefix = common_prefix(incoming.words, self.unconfirmed.words) | |
| 20 | + logger.debug(f"Confirmed: {confirmed.text}") | |
| 21 | + logger.debug(f"Unconfirmed: {self.unconfirmed.text}") | |
| 22 | + logger.debug(f"Incoming: {incoming.text}") | |
| 23 | + | |
| 24 | + if len(incoming.words) > len(prefix): | |
| 25 | + self.unconfirmed = Transcription(incoming.words[len(prefix) :]) | |
| 26 | + else: | |
| 27 | + self.unconfirmed = Transcription() | |
| 28 | + | |
| 29 | + return prefix | |
| 30 | + | |
| 31 | + @classmethod | |
| 32 | + def prompt(cls, confirmed: Transcription) -> str | None: | |
| 33 | + sentences = to_full_sentences(confirmed.words) | |
| 34 | + if len(sentences) == 0: | |
| 35 | + return None | |
| 36 | + return sentences[-1].text | |
| 37 | + | |
| 38 | + # TODO: better name | |
| 39 | + @classmethod | |
| 40 | + def needs_audio_after(cls, confirmed: Transcription) -> float: | |
| 41 | + full_sentences = to_full_sentences(confirmed.words) | |
| 42 | + return full_sentences[-1].end if len(full_sentences) > 0 else 0.0 | |
| 43 | + | |
| 44 | + | |
| 45 | +def needs_audio_after(confirmed: Transcription) -> float: | |
| 46 | + full_sentences = to_full_sentences(confirmed.words) | |
| 47 | + return full_sentences[-1].end if len(full_sentences) > 0 else 0.0 | |
| 48 | + | |
| 49 | + | |
| 50 | +def prompt(confirmed: Transcription) -> str | None: | |
| 51 | + sentences = to_full_sentences(confirmed.words) | |
| 52 | + if len(sentences) == 0: | |
| 53 | + return None | |
| 54 | + return sentences[-1].text | |
| 55 | + | |
| 56 | + | |
| 57 | +async def audio_transcriber( | |
| 58 | + asr: FasterWhisperASR, | |
| 59 | + audio_stream: AudioStream, | |
| 60 | +) -> AsyncGenerator[Transcription, None]: | |
| 61 | + local_agreement = LocalAgreement() | |
| 62 | + full_audio = Audio() | |
| 63 | + confirmed = Transcription() | |
| 64 | + async for chunk in audio_stream.chunks(config.min_duration): | |
| 65 | + full_audio.extend(chunk) | |
| 66 | + audio = full_audio.after(needs_audio_after(confirmed)) | |
| 67 | + transcription, _ = await asr.transcribe(audio, prompt(confirmed)) | |
| 68 | + new_words = local_agreement.merge(confirmed, transcription) | |
| 69 | + if len(new_words) > 0: | |
| 70 | + confirmed.extend(new_words) | |
| 71 | + yield confirmed | |
| 72 | + logger.debug("Flushing...") | |
| 73 | + confirmed.extend(local_agreement.unconfirmed.words) | |
| 74 | + yield confirmed | |
| 75 | + logger.info("Audio transcriber finished") |
+++ tests/__init__.py
... | ... | @@ -0,0 +1,0 @@ |
+++ tests/app_test.py
... | ... | @@ -0,0 +1,84 @@ |
| 1 | +import json | |
| 2 | +import os | |
| 3 | +import threading | |
| 4 | +import time | |
| 5 | +from difflib import SequenceMatcher | |
| 6 | +from typing import Generator | |
| 7 | + | |
| 8 | +import pytest | |
| 9 | +from fastapi import WebSocketDisconnect | |
| 10 | +from fastapi.testclient import TestClient | |
| 11 | +from starlette.testclient import WebSocketTestSession | |
| 12 | + | |
| 13 | +from speaches.config import BYTES_PER_SECOND | |
| 14 | +from speaches.main import app | |
| 15 | +from speaches.server_models import TranscriptionVerboseResponse | |
| 16 | + | |
| 17 | +SIMILARITY_THRESHOLD = 0.97 | |
| 18 | + | |
| 19 | + | |
| 20 | +@pytest.fixture() | |
| 21 | +def client() -> Generator[TestClient, None, None]: | |
| 22 | + with TestClient(app) as client: | |
| 23 | + yield client | |
| 24 | + | |
| 25 | + | |
| 26 | +def get_audio_file_paths(): | |
| 27 | + file_paths = [] | |
| 28 | + directory = "tests/data" | |
| 29 | + for filename in reversed(os.listdir(directory)[5:6]): | |
| 30 | + if filename.endswith(".raw"): | |
| 31 | + file_paths.append(os.path.join(directory, filename)) | |
| 32 | + return file_paths | |
| 33 | + | |
| 34 | + | |
| 35 | +file_paths = get_audio_file_paths() | |
| 36 | + | |
| 37 | + | |
| 38 | +def stream_audio_data( | |
| 39 | + ws: WebSocketTestSession, data: bytes, *, chunk_size: int = 4000, speed: float = 1.0 | |
| 40 | +): | |
| 41 | + for i in range(0, len(data), chunk_size): | |
| 42 | + ws.send_bytes(data[i : i + chunk_size]) | |
| 43 | + delay = len(data[i : i + chunk_size]) / BYTES_PER_SECOND / speed | |
| 44 | + time.sleep(delay) | |
| 45 | + | |
| 46 | + | |
| 47 | +def transcribe_audio_data( | |
| 48 | + client: TestClient, data: bytes | |
| 49 | +) -> TranscriptionVerboseResponse: | |
| 50 | + response = client.post( | |
| 51 | + "/v1/audio/transcriptions?response_format=verbose_json", | |
| 52 | + files={"file": ("audio.raw", data, "audio/raw")}, | |
| 53 | + ) | |
| 54 | + data = json.loads(response.json()) # TODO: figure this out | |
| 55 | + return TranscriptionVerboseResponse(**data) # type: ignore | |
| 56 | + | |
| 57 | + | |
| 58 | +@pytest.mark.parametrize("file_path", file_paths) | |
| 59 | +def test_ws_audio_transcriptions(client: TestClient, file_path: str): | |
| 60 | + with open(file_path, "rb") as file: | |
| 61 | + data = file.read() | |
| 62 | + streaming_transcription: TranscriptionVerboseResponse = None # type: ignore | |
| 63 | + with client.websocket_connect( | |
| 64 | + "/v1/audio/transcriptions?response_format=verbose_json" | |
| 65 | + ) as ws: | |
| 66 | + thread = threading.Thread( | |
| 67 | + target=stream_audio_data, args=(ws, data), kwargs={"speed": 4.0} | |
| 68 | + ) | |
| 69 | + thread.start() | |
| 70 | + while True: | |
| 71 | + try: | |
| 72 | + streaming_transcription = TranscriptionVerboseResponse( | |
| 73 | + **ws.receive_json() | |
| 74 | + ) | |
| 75 | + except WebSocketDisconnect: | |
| 76 | + break | |
| 77 | + ws.close() | |
| 78 | + file_transcription = transcribe_audio_data(client, data) | |
| 79 | + s = SequenceMatcher( | |
| 80 | + lambda x: x == " ", file_transcription.text, streaming_transcription.text | |
| 81 | + ) | |
| 82 | + assert ( | |
| 83 | + s.ratio() > SIMILARITY_THRESHOLD | |
| 84 | + ), f"\nExpected: {file_transcription.text}\nReceived: {streaming_transcription.text}" |
+++ tests/conftest.py
... | ... | @@ -0,0 +1,9 @@ |
| 1 | +import logging | |
| 2 | + | |
| 3 | +disable_loggers = ["multipart.multipart", "faster_whisper"] | |
| 4 | + | |
| 5 | + | |
| 6 | +def pytest_configure(): | |
| 7 | + for logger_name in disable_loggers: | |
| 8 | + logger = logging.getLogger(logger_name) | |
| 9 | + logger.disabled = True |
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