Initial commit

2024-11-27 03:21:01 +00:00 · 2022-09-23 19:20:11 +09:00 · 2022-09-23 19:20:11 +09:00 · 248d379078
commit 248d379078
21 changed files with 2232 additions and 0 deletions
--- a/.github/FUNDING.yml
+++ b/.github/FUNDING.yml
@ -0,0 +1,2 @@
+---
+github: shirayu
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@ -0,0 +1,15 @@
+---
+version: 2
+updates:
+  - package-ecosystem: "npm"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+  - package-ecosystem: "pip"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "weekly"
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@ -0,0 +1,35 @@
+---
+name: CI
+"on": push
+
+jobs:
+  ci:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v4
+        with:
+          python-version: '3.9'
+
+      - name: Install Poetry Action
+        uses: snok/install-poetry@v1.3.1
+        with:
+          virtualenvs-create: true
+          virtualenvs-in-project: true
+
+      - name: Load cached venv
+        id: cached-poetry-dependencies
+        uses: actions/cache@v3
+        with:
+          path: .venv
+          key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}-${{ hashFiles('**/package-lock.json') }}
+
+      - run: pip install poetry
+      - run: poetry install
+
+      - uses: actions/setup-node@v3
+        with:
+          node-version: '14'
+          cache: npm
+      - run: npm install
+      - run: poetry run make -j $(nproc)
--- a/.github/workflows/codeql-analysis.yml
+++ b/.github/workflows/codeql-analysis.yml
@ -0,0 +1,36 @@
+---
+name: "CodeQL"
+
+"on":
+  push:
+    branches: [master]
+  pull_request:
+    branches: [master]
+  schedule:
+    - cron: '34 22 * * 2'
+
+jobs:
+  analyze:
+    name: Analyze
+    runs-on: ubuntu-latest
+    permissions:
+      actions: read
+      contents: read
+      security-events: write
+
+    strategy:
+      fail-fast: false
+      matrix:
+        language: ['python']
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+      - name: Initialize CodeQL
+        uses: github/codeql-action/init@v2
+        with:
+          languages: ${{ matrix.language }}
+      - name: Autobuild
+        uses: github/codeql-action/autobuild@v2
+      - name: Perform CodeQL Analysis
+        uses: github/codeql-action/analyze@v2
--- a/.github/workflows/typos.yml
+++ b/.github/workflows/typos.yml
@ -0,0 +1,19 @@
+---
+# yamllint disable rule:line-length
+name: Typos
+
+on:  # yamllint disable-line rule:truthy
+  push:
+  pull_request:
+    branches:
+      - '**'
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: typos-action
+        uses: crate-ci/typos@v1.12.7
--- a/.gitignore
+++ b/.gitignore
@ -0,0 +1,164 @@
+*.png
+wheels
+node_modules
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
--- a/.markdownlint.json
+++ b/.markdownlint.json
@ -0,0 +1,8 @@
+{
+    "MD007": {
+        "indent": 4
+    },
+    "line-length": false,
+    "no-inline-html": false,
+    "MD026": false
+}
--- a/65
+++ b/65
@ -0,0 +1,65 @@
+diff --git a/whisper_streaming/__init__.py b/whisper_streaming/__init__.py
+index eb8bcb0..d246d29 100644
+--- a/whisper_streaming/__init__.py
+++ b/whisper_streaming/__init__.py
+@@ -25,6 +25,7 @@ class WhisperConfig(BaseModel):
+     logprob_threshold: Optional[float] = -1.0
+     no_captions_threshold: Optional[float] = 0.6
+     best_of: int = 5
+    beam_size: Optional[int] = None
+ 
+ 
+ class WhisperStreamingTranscriber:
+@@ -42,7 +43,7 @@ class WhisperStreamingTranscriber:
+         self,
+         *,
+         t,
+-        beam_size,
+        beam_size: Optional[int],
+         patience,
+         best_of,
+     ) -> DecodingOptions:
+@@ -81,7 +82,7 @@ class WhisperStreamingTranscriber:
+ 
+         _decode_options: DecodingOptions = self._get_decoding_options(
+             t=t,
+-            beam_size=None,
+            beam_size=self.config.beam_size,
+             patience=0.0,
+             best_of=None,
+         )
+@@ -100,7 +101,7 @@ class WhisperStreamingTranscriber:
+                     t=t,
+                     beam_size=None,
+                     patience=None,
+-                    best_of=None,
+                    best_of=self.config.best_of,
+                 )
+                 retries: List[DecodingResult] = self.model.decode(
+                     segment[needs_fallback], _decode_options  # type: ignore
+@@ -158,16 +159,25 @@ def get_opts() -> argparse.Namespace:
+         default="cuda" if torch.cuda.is_available() else "cpu",
+         help="device to use for PyTorch inference",
+     )
+    parser.add_argument(
+        "--beam_size",
+        "-b",
+        type=int,
+        default=5,
+    )
+ 
+     return parser.parse_args()
+ 
+ 
+ def main() -> None:
+     opts = get_opts()
+    if opts.beam_size <= 0:
+        opts.beam_size = None
+     config = WhisperConfig(
+         model_name=opts.model,
+         language=opts.language,
+         device=opts.device,
+        beam_size=opts.beam_size,
+     )
+     transcribe_from_mic(config=config)
+ 
--- a/21
+++ b/21
@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2022 shirayu
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
--- a/LICENSE.whisper
+++ b/LICENSE.whisper
@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2022 OpenAI
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
--- a/30
+++ b/30
@ -0,0 +1,30 @@
+
+all: lint_node lint_python
+
+TARGET_DIRS:=./whisper_streaming
+
+flake8:
+	find $(TARGET_DIRS) | grep '\.py$$' | xargs flake8
+black:
+	find $(TARGET_DIRS) | grep '\.py$$' | xargs black --diff | diff /dev/null -
+isort:
+	find $(TARGET_DIRS) | grep '\.py$$' | xargs isort --diff | diff /dev/null -
+pydocstyle:
+	find $(TARGET_DIRS) | grep -v tests | xargs pydocstyle --ignore=D100,D101,D102,D103,D104,D105,D107,D203,D212
+	
+yamllint:
+	find . \( -name node_modules -o -name .venv \) -prune -o -type f -name '*.yml' -print \
+		| xargs yamllint --no-warnings
+
+lint_python: flake8 black isort pydocstyle
+
+
+pyright:
+	npx pyright
+
+markdownlint:
+	find . -type d \( -name node_modules -o -name .venv \) -prune -o -type f -name '*.md' -print \
+	| xargs npx markdownlint --config ./.markdownlint.json
+
+lint_node: markdownlint pyright
+
--- a/README.md
+++ b/README.md
@ -0,0 +1,31 @@
+
+# whisper_streaming
+
+[![CI](https://github.com/shirayu/whisper_streaming/actions/workflows/ci.yml/badge.svg)](https://github.com/shirayu/whisper_streaming/actions/workflows/ci.yml)
+[![CodeQL](https://github.com/shirayu/whisper_streaming/actions/workflows/codeql-analysis.yml/badge.svg)](https://github.com/shirayu/whisper_streaming/actions/workflows/codeql-analysis.yml)
+[![Typos](https://github.com/shirayu/whisper_streaming/actions/workflows/typos.yml/badge.svg)](https://github.com/shirayu/whisper_streaming/actions/workflows/typos.yml)
+
+Streaming transcriber with [whisper](https://github.com/openai/whisper)
+
+## Example
+
+```bash
+git clone https://github.com/shirayu/whisper_streaming.git
+cd whisper_streaming
+poetry install --only main
+poetry run whisper_streaming --language ja --model base
+```
+
+## Tips
+
+If you get ``OSError: PortAudio library not found``: Install ``portaudio``
+
+```bash
+# Ubuntu
+sudo apt-get install portaudio19-dev
+```
+
+## License
+
+- [MIT License](LICENSE)
+- Some codes are ported from the original whisper. Its license is also [MIT License](LICENSE.whisper)
--- a/package-lock.json
+++ b/package-lock.json
@ -0,0 +1,541 @@
+{
+    "name": "pyright-exec",
+    "version": "1.0.0",
+    "lockfileVersion": 2,
+    "requires": true,
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+            "version": "1.0.0",
+            "devDependencies": {
+                "markdownlint-cli": "^0.32.1",
+                "pyright": "^1.1.270"
+            }
+        },
+        "node_modules/argparse": {
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+        },
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+            "dev": true
+        },
+        "node_modules/brace-expansion": {
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+            "dev": true,
+            "engines": {
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+            }
+        },
+        "node_modules/deep-extend": {
+            "version": "0.6.0",
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+            "dev": true,
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+            },
+            "funding": {
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+            "dev": true,
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+            },
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--- a/package.json
+++ b/package.json
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+{
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+    "description": "",
+    "license": "",
+    "main": "",
+    "name": "pyright-exec",
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+    {file = "torch-1.12.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:9b356aea223772cd754edb4d9ecf2a025909b8615a7668ac7d5130f86e7ec421"},
+    {file = "torch-1.12.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:6cf6f54b43c0c30335428195589bd00e764a6d27f3b9ba637aaa8c11aaf93073"},
+    {file = "torch-1.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:f00c721f489089dc6364a01fd84906348fe02243d0af737f944fddb36003400d"},
+    {file = "torch-1.12.1-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:bfec2843daa654f04fda23ba823af03e7b6f7650a873cdb726752d0e3718dada"},
+    {file = "torch-1.12.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:69fe2cae7c39ccadd65a123793d30e0db881f1c1927945519c5c17323131437e"},
+]
+tqdm = [
+    {file = "tqdm-4.64.1-py2.py3-none-any.whl", hash = "sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1"},
+    {file = "tqdm-4.64.1.tar.gz", hash = "sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4"},
+]
+transformers = [
+    {file = "transformers-4.22.1-py3-none-any.whl", hash = "sha256:8f06d0dbdb95717fc4a48c61d876f25a35ca67e95851581c681fe4e6d1cf9f94"},
+    {file = "transformers-4.22.1.tar.gz", hash = "sha256:b9834aa01979778c16130ad260e41d314f4c3a65930bdc40b1232833c988280b"},
+]
+typing-extensions = [
+    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
+    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+]
+urllib3 = [
+    {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
+    {file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
+]
+whisper = []
--- a/pyproject.toml
+++ b/pyproject.toml
@ -0,0 +1,28 @@
+[tool.poetry]
+name = "whisper-streaming"
+version = "0.1.0"
+description = ""
+authors = ["Yuta Hayashibe <yuta@hayashibe.jp>"]
+readme = "README.md"
+packages = [{include = "whisper_streaming"}]
+
+[tool.poetry.dependencies]
+python = ">=3.8,<4.0"
+whisper = {git = "https://github.com/openai/whisper.git", rev = '15ab54826343c27cfaf44ce31e9c8fb63d0aa775'}
+sounddevice = "^0.4.5"
+pydantic = "^1.10.2"
+
+
+[tool.poetry.group.dev.dependencies]
+black = "^22.8.0"
+isort = "^5.10.1"
+flake8 = "^5.0.4"
+pydocstyle = "^6.1.1"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.scripts]
+whisper_streaming = "whisper_streaming.cli:main"
+
--- a/setup.cfg
+++ b/setup.cfg
@ -0,0 +1,3 @@
+[flake8]
+ignore = E203,W503,W504
+max-line-length = 120
--- a/whisper_streaming/init.py
+++ b/whisper_streaming/init.py
--- a/whisper_streaming/cli.py
+++ b/whisper_streaming/cli.py
@ -0,0 +1,91 @@
+#!/usr/bin/env python3
+
+import argparse
+import queue
+from logging import INFO, getLogger
+
+import sounddevice as sd
+import torch
+from whisper import available_models
+from whisper.audio import N_FRAMES, SAMPLE_RATE
+from whisper.tokenizer import LANGUAGES, TO_LANGUAGE_CODE
+
+from whisper_streaming.schema import WhisperConfig
+from whisper_streaming.transcriber import WhisperStreamingTranscriber
+
+logger = getLogger(__name__)
+
+
+def transcribe_from_mic(config: WhisperConfig) -> None:
+    sd_device = None
+    wsp = WhisperStreamingTranscriber(config=config)
+    q = queue.Queue()
+
+    def sd_callback(indata, frames, time, status):
+        if status:
+            logger.warning(status)
+        q.put(indata.ravel())
+
+    logger.info("Ready to transcribe")
+    with sd.InputStream(
+        samplerate=SAMPLE_RATE,
+        blocksize=N_FRAMES * 10,  # FIXME
+        device=sd_device,
+        dtype="float32",
+        channels=1,
+        callback=sd_callback,
+    ):
+        while True:
+            segment = q.get()
+            r = wsp.transcribe(segment=segment)
+            if r is not None:
+                print(r.text)
+
+
+def get_opts() -> argparse.Namespace:
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--language",
+        type=str,
+        default=None,
+        choices=sorted(LANGUAGES.keys())
+        + sorted([k.title() for k in TO_LANGUAGE_CODE.keys()]),
+        required=True,
+    )
+    parser.add_argument(
+        "--model",
+        type=str,
+        choices=available_models(),
+        required=True,
+    )
+    parser.add_argument(
+        "--device",
+        default="cuda" if torch.cuda.is_available() else "cpu",
+        help="device to use for PyTorch inference",
+    )
+    parser.add_argument(
+        "--beam_size",
+        "-b",
+        type=int,
+        default=5,
+    )
+
+    return parser.parse_args()
+
+
+def main() -> None:
+    opts = get_opts()
+    logger.setLevel(INFO)
+    if opts.beam_size <= 0:
+        opts.beam_size = None
+    config = WhisperConfig(
+        model_name=opts.model,
+        language=opts.language,
+        device=opts.device,
+        beam_size=opts.beam_size,
+    )
+    transcribe_from_mic(config=config)
+
+
+if __name__ == "__main__":
+    main()
--- a/whisper_streaming/schema.py
+++ b/whisper_streaming/schema.py
@ -0,0 +1,21 @@
+#!/usr/bin/env python3
+
+from typing import Optional, Tuple
+
+from pydantic import BaseModel
+
+
+class WhisperConfig(BaseModel):
+    model_name: str
+    device: str
+    language: str
+
+    temperatures: Tuple[float, ...] = (0.0, 0.2, 0.4, 0.6, 0.8, 1.0)
+    compression_ratio_threshold: Optional[float] = 2.4
+    logprob_threshold: Optional[float] = -1.0
+    no_captions_threshold: Optional[float] = 0.6
+    best_of: int = 5
+    beam_size: Optional[int] = None
+    no_speech_threshold: Optional[float] = 0.6
+    logprob_threshold: Optional[float] = -1.0
+    compression_ratio_threshold: Optional[float] = 2.4
--- a/whisper_streaming/transcriber.py
+++ b/whisper_streaming/transcriber.py
@ -0,0 +1,111 @@
+#!/usr/bin/env python3
+
+from typing import List, Optional
+
+import numpy as np
+import torch
+from whisper import Whisper, load_model
+from whisper.audio import N_FRAMES, log_mel_spectrogram, pad_or_trim
+from whisper.decoding import DecodingOptions, DecodingResult
+from whisper.tokenizer import get_tokenizer
+
+from whisper_streaming.schema import WhisperConfig
+
+
+class WhisperStreamingTranscriber:
+    def __init__(self, *, config: WhisperConfig):
+        self.config: WhisperConfig = config
+        self.model: Whisper = load_model(config.model_name, device=config.device)
+        self.tokenizer = get_tokenizer(
+            self.model.is_multilingual,
+            language=config.language,
+            task="transcribe",
+        )
+        self.dtype = torch.float16
+
+    def _get_decoding_options(
+        self,
+        *,
+        t,
+        beam_size: Optional[int],
+        patience: float,
+        best_of: Optional[int],
+    ) -> DecodingOptions:
+        return DecodingOptions(
+            task="transcribe",
+            language=None,
+            temperature=t,
+            sample_len=None,
+            best_of=best_of,
+            beam_size=beam_size,
+            patience=patience,
+            length_penalty=None,
+            prompt=None,
+            prefix=None,
+            suppress_blank=True,
+            suppress_tokens="-1",
+            without_timestamps=False,
+            max_initial_timestamp=0.0,
+            fp16=True,
+        )
+
+    def _decode_with_fallback(self, *, segment: np.ndarray) -> List[DecodingResult]:
+        assert len(self.config.temperatures) >= 1
+        t = self.config.temperatures[0]
+
+        _decode_options1: DecodingOptions = self._get_decoding_options(
+            t=t,
+            beam_size=self.config.beam_size,
+            patience=0.0,
+            best_of=None,
+        )
+        results: List[DecodingResult] = self.model.decode(segment, _decode_options1)  # type: ignore
+
+        for t in self.config.temperatures[1:]:
+            needs_fallback = [
+                self.config.compression_ratio_threshold is not None
+                and result.compression_ratio > self.config.compression_ratio_threshold
+                or self.config.logprob_threshold is not None
+                and result.avg_logprob < self.config.logprob_threshold
+                for result in results
+            ]
+            if any(needs_fallback):
+                _decode_options2: DecodingOptions = self._get_decoding_options(
+                    t=t,
+                    beam_size=None,
+                    patience=0.0,
+                    best_of=self.config.best_of,
+                )
+                retries: List[DecodingResult] = self.model.decode(
+                    segment[needs_fallback], _decode_options2  # type: ignore
+                )
+                for retry_index, original_index in enumerate(
+                    np.nonzero(needs_fallback)[0]
+                ):
+                    results[original_index] = retries[retry_index]
+        return results
+
+    def transcribe(
+        self,
+        *,
+        segment: np.ndarray,
+    ) -> Optional[DecodingResult]:
+        log_spec = log_mel_spectrogram(audio=segment).unsqueeze(0)
+        segment = (
+            pad_or_trim(log_spec, N_FRAMES)
+            .to(self.model.device)  # type:ignore
+            .to(self.dtype)  # type:ignore
+        )
+        results = self._decode_with_fallback(segment=segment)
+        result = results[0]
+
+        if self.config.no_speech_threshold is not None:
+            if (result.no_speech_prob > self.config.no_speech_threshold) and not (
+                self.config.logprob_threshold is not None
+                and result.avg_logprob > self.config.logprob_threshold
+            ):
+                return
+
+        # FIXME: work with timestamp
+
+        return result