Spaces:
Build error
Build error
Client
Browse files- .editorconfig +15 -0
- .gitignore +162 -0
- client/README.md +6 -0
- client/pdm.lock +733 -0
- client/pyproject.toml +17 -0
- client/src/audio_utils.py +71 -0
- client/src/main.py +79 -0
- client/tests/__init__.py +0 -0
- run-client.sh +1 -0
.editorconfig
ADDED
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@@ -0,0 +1,15 @@
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# EditorConfig is awesome: https://EditorConfig.org
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# top-most EditorConfig file
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root = true
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[*]
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indent_style = space
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indent_size = 2
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end_of_line = lf
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charset = utf-8
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trim_trailing_whitespace = true
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insert_final_newline = true
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[*.py]
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indent_size = 4
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.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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| 99 |
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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| 100 |
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm-project.org/#use-with-ide
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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| 119 |
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celerybeat.pid
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| 120 |
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# SageMath parsed files
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*.sage.py
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| 123 |
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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| 134 |
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.spyderproject
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| 135 |
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.spyproject
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| 136 |
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| 137 |
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# Rope project settings
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| 138 |
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.ropeproject
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| 139 |
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# mkdocs documentation
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| 141 |
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/site
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# mypy
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| 144 |
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.mypy_cache/
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| 145 |
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.dmypy.json
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| 146 |
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dmypy.json
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| 147 |
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| 148 |
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# Pyre type checker
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| 149 |
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.pyre/
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| 150 |
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| 151 |
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# pytype static type analyzer
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| 152 |
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.pytype/
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# Cython debug symbols
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| 155 |
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cython_debug/
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| 156 |
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| 157 |
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# PyCharm
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| 158 |
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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| 159 |
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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| 160 |
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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| 161 |
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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client/README.md
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# client
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1. Receives audio
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2. Packages it
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3. Sends it to remote server for processing
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4. Sends the transcription to the display
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client/pdm.lock
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| 1 |
+
# This file is @generated by PDM.
|
| 2 |
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# It is not intended for manual editing.
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| 3 |
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| 4 |
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[[package]]
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 16 |
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| 17 |
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| 19 |
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| 39 |
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| 40 |
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| 41 |
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| 43 |
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| 616 |
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| 619 |
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| 620 |
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|
| 621 |
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| 622 |
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|
| 623 |
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| 631 |
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| 632 |
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| 634 |
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| 637 |
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| 642 |
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| 643 |
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| 648 |
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|
| 649 |
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|
| 650 |
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[[package]]
|
| 651 |
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name = "tqdm"
|
| 652 |
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|
| 653 |
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|
| 654 |
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|
| 655 |
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dependencies = [
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| 656 |
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"colorama; platform_system == \"Windows\"",
|
| 657 |
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| 658 |
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| 659 |
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| 661 |
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|
| 662 |
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|
| 663 |
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[[package]]
|
| 664 |
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| 665 |
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|
| 666 |
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|
| 667 |
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|
| 668 |
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| 669 |
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"filelock",
|
| 670 |
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| 671 |
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|
| 672 |
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"packaging>=20.0",
|
| 673 |
+
"pyyaml>=5.1",
|
| 674 |
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|
| 675 |
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"requests",
|
| 676 |
+
"safetensors>=0.3.1",
|
| 677 |
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"tokenizers<0.19,>=0.14",
|
| 678 |
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"tqdm>=4.27",
|
| 679 |
+
]
|
| 680 |
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files = [
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| 681 |
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| 682 |
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|
| 683 |
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|
| 684 |
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|
| 685 |
+
[[package]]
|
| 686 |
+
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|
| 687 |
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|
| 688 |
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|
| 689 |
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|
| 690 |
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|
| 691 |
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|
| 692 |
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|
| 693 |
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|
| 694 |
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|
| 695 |
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|
| 696 |
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files = [
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| 697 |
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| 698 |
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| 699 |
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| 700 |
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|
| 701 |
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[[package]]
|
| 702 |
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|
| 703 |
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|
| 704 |
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|
| 705 |
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|
| 706 |
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"filelock",
|
| 707 |
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|
| 708 |
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files = [
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| 709 |
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| 710 |
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| 711 |
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{file = "triton-2.1.0-0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82fc5aeeedf6e36be4e4530cbdcba81a09d65c18e02f52dc298696d45721f3bd"},
|
| 712 |
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| 713 |
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|
| 714 |
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|
| 715 |
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[[package]]
|
| 716 |
+
name = "typing-extensions"
|
| 717 |
+
version = "4.9.0"
|
| 718 |
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requires_python = ">=3.8"
|
| 719 |
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| 720 |
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files = [
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| 721 |
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| 722 |
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|
| 723 |
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|
| 724 |
+
|
| 725 |
+
[[package]]
|
| 726 |
+
name = "urllib3"
|
| 727 |
+
version = "2.1.0"
|
| 728 |
+
requires_python = ">=3.8"
|
| 729 |
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summary = "HTTP library with thread-safe connection pooling, file post, and more."
|
| 730 |
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files = [
|
| 731 |
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|
| 732 |
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{file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
|
| 733 |
+
]
|
client/pyproject.toml
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
[project]
|
| 2 |
+
name = ""
|
| 3 |
+
version = ""
|
| 4 |
+
description = ""
|
| 5 |
+
authors = [
|
| 6 |
+
{name = "Marco Acierno",email = "[email protected]"},
|
| 7 |
+
]
|
| 8 |
+
dependencies = [
|
| 9 |
+
"numpy>=1.26.3",
|
| 10 |
+
"PyAudio>=0.2.14",
|
| 11 |
+
"SpeechRecognition>=3.10.1",
|
| 12 |
+
"transformers[torch]>=4.36.2",
|
| 13 |
+
]
|
| 14 |
+
requires-python = ">=3.11"
|
| 15 |
+
readme = "README.md"
|
| 16 |
+
license = {text = "MIT"}
|
| 17 |
+
|
client/src/audio_utils.py
ADDED
|
@@ -0,0 +1,71 @@
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
| 1 |
+
import sys
|
| 2 |
+
from dataclasses import dataclass, field
|
| 3 |
+
from queue import Queue
|
| 4 |
+
|
| 5 |
+
import numpy as np
|
| 6 |
+
import speech_recognition as sr
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def get_microphone(default_microphone: str | None = "pulse", sample_rate: int = 16000) -> sr.Microphone:
|
| 10 |
+
"""Get the specified system microphone if available."""
|
| 11 |
+
# Important for linux users.
|
| 12 |
+
# Prevents permanent application hang and crash by using the wrong Microphone
|
| 13 |
+
if "linux" in sys.platform:
|
| 14 |
+
mic_name = default_microphone
|
| 15 |
+
if not mic_name or mic_name == "list":
|
| 16 |
+
mic_names = "\n".join(f"- {n}" for n in sr.Microphone.list_microphone_names())
|
| 17 |
+
err_msg = f"No microphone selected. Available microphone devices are:\n{mic_names}"
|
| 18 |
+
raise ValueError(err_msg)
|
| 19 |
+
else:
|
| 20 |
+
for index, name in enumerate(sr.Microphone.list_microphone_names()):
|
| 21 |
+
if mic_name in name:
|
| 22 |
+
return sr.Microphone(sample_rate=sample_rate, device_index=index)
|
| 23 |
+
return sr.Microphone(sample_rate=sample_rate)
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
def get_speech_recognizer(energy_threshold: int = 300) -> sr.Recognizer:
|
| 27 |
+
"""Set up a speech recognizer with a custom energy threshold."""
|
| 28 |
+
# We use SpeechRecognizer to record our audio because it has a nice feature where
|
| 29 |
+
# it can detect when speech ends.
|
| 30 |
+
speech_recognizer = sr.Recognizer()
|
| 31 |
+
speech_recognizer.energy_threshold = energy_threshold
|
| 32 |
+
# Definitely do this, dynamic energy compensation lowers the energy threshold dramatically
|
| 33 |
+
# to a point where the SpeechRecognizer never stops recording.
|
| 34 |
+
speech_recognizer.dynamic_energy_threshold = False
|
| 35 |
+
return speech_recognizer
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
def to_audio_array(audio_data: bytes) -> np.ndarray:
|
| 39 |
+
"""
|
| 40 |
+
Convert in-ram buffer to something the model can use directly without needing a temp file.
|
| 41 |
+
|
| 42 |
+
Convert data from 16 bit wide integers to floating point with a width of 32 bits.
|
| 43 |
+
Clamp the audio stream frequency to a PCM wavelength compatible default of 32768hz max.
|
| 44 |
+
"""
|
| 45 |
+
audio_np = np.frombuffer(audio_data, dtype=np.int16).astype(np.float32) / 32768.0
|
| 46 |
+
return audio_np
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
def get_all_audio_queue(data_queue: Queue) -> bytes:
|
| 50 |
+
"""Returns all audio in the queue."""
|
| 51 |
+
audio_data = b"".join(data_queue.queue)
|
| 52 |
+
data_queue.queue.clear()
|
| 53 |
+
return audio_data
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
@dataclass
|
| 57 |
+
class AudioChunk:
|
| 58 |
+
start_time: float
|
| 59 |
+
end_time: float | None = None
|
| 60 |
+
audio_array: np.ndarray = field(default_factory=lambda: np.array([]))
|
| 61 |
+
|
| 62 |
+
@property
|
| 63 |
+
def duration(self) -> float | None:
|
| 64 |
+
return None if self.end_time is None else self.end_time - self.start_time
|
| 65 |
+
|
| 66 |
+
@property
|
| 67 |
+
def is_complete(self) -> bool:
|
| 68 |
+
return (self.end_time is not None) and (self.audio_array.size > 0)
|
| 69 |
+
|
| 70 |
+
def update_array(self, new_audio: np.ndarray) -> None:
|
| 71 |
+
self.audio_array = np.concatenate((self.audio_array, new_audio))
|
client/src/main.py
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from queue import Queue
|
| 2 |
+
import logging
|
| 3 |
+
from datetime import UTC, datetime, timedelta
|
| 4 |
+
from time import sleep
|
| 5 |
+
|
| 6 |
+
import speech_recognition as sr
|
| 7 |
+
|
| 8 |
+
from audio_utils import get_microphone, get_speech_recognizer, get_all_audio_queue, to_audio_array, AudioChunk
|
| 9 |
+
|
| 10 |
+
logger = logging.getLogger(__name__)
|
| 11 |
+
|
| 12 |
+
def main():
|
| 13 |
+
recording_duration = 2
|
| 14 |
+
sample_rate = 16000
|
| 15 |
+
energy_threshold = 300
|
| 16 |
+
|
| 17 |
+
data_queue = Queue()
|
| 18 |
+
|
| 19 |
+
microphone = get_microphone(sample_rate=sample_rate)
|
| 20 |
+
speech_recognizer = get_speech_recognizer(energy_threshold=energy_threshold)
|
| 21 |
+
|
| 22 |
+
with microphone:
|
| 23 |
+
speech_recognizer.adjust_for_ambient_noise(source=microphone)
|
| 24 |
+
|
| 25 |
+
def record_callback(_, audio: sr.AudioData) -> None:
|
| 26 |
+
data = audio.get_raw_data()
|
| 27 |
+
data_queue.put(data)
|
| 28 |
+
|
| 29 |
+
speech_recognizer.listen_in_background(source=microphone, callback=record_callback)
|
| 30 |
+
|
| 31 |
+
print("\n🎤 Microphone is now listening...\n")
|
| 32 |
+
|
| 33 |
+
current_audio_chunk = AudioChunk(start_time=datetime.now(tz=UTC))
|
| 34 |
+
|
| 35 |
+
while True:
|
| 36 |
+
try:
|
| 37 |
+
now = datetime.now(tz=UTC)
|
| 38 |
+
# Pull raw recorded audio from the queue.
|
| 39 |
+
if not data_queue.empty():
|
| 40 |
+
# Store end time if we're over the recording time limit.
|
| 41 |
+
if now - current_audio_chunk.start_time > timedelta(seconds=recording_duration):
|
| 42 |
+
current_audio_chunk.end_time = now
|
| 43 |
+
|
| 44 |
+
# Get audio data from queue
|
| 45 |
+
audio_data = get_all_audio_queue(data_queue)
|
| 46 |
+
audio_np_array = to_audio_array(audio_data)
|
| 47 |
+
|
| 48 |
+
if current_audio_chunk.is_complete:
|
| 49 |
+
print('chunk done')
|
| 50 |
+
# text = transcribe_model.transcribe(current_audio_chunk.audio_array)
|
| 51 |
+
# sentence = Sentence(
|
| 52 |
+
# start_time=current_audio_chunk.start_time, end_time=current_audio_chunk.end_time, text=text
|
| 53 |
+
# )
|
| 54 |
+
# current_audio_chunk = AudioChunk(
|
| 55 |
+
# audio_array=audio_np_array, start_time=datetime.now(tz=UTC)
|
| 56 |
+
# )
|
| 57 |
+
# print(sentence.text) # noqa: T201
|
| 58 |
+
else:
|
| 59 |
+
current_audio_chunk.update_array(audio_np_array)
|
| 60 |
+
|
| 61 |
+
# Flush stdout
|
| 62 |
+
print("", end="", flush=True) # noqa: T201
|
| 63 |
+
|
| 64 |
+
# Infinite loops are bad for processors, must sleep.
|
| 65 |
+
sleep(0.25)
|
| 66 |
+
except KeyboardInterrupt:
|
| 67 |
+
current_audio_chunk.end_time = datetime.now(tz=UTC)
|
| 68 |
+
if current_audio_chunk.is_complete:
|
| 69 |
+
logger.warning("⚠️ Transcribing last chunk...")
|
| 70 |
+
# text = transcribe_model.transcribe(current_audio_chunk.audio_array)
|
| 71 |
+
# sentence = Sentence(
|
| 72 |
+
# start_time=current_audio_chunk.start_time, end_time=current_audio_chunk.end_time, text=text
|
| 73 |
+
# )
|
| 74 |
+
# print(sentence.text) # noqa: T201
|
| 75 |
+
break
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
if __name__ == '__main__':
|
| 79 |
+
main()
|
client/tests/__init__.py
ADDED
|
File without changes
|
run-client.sh
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
./client/.venv/bin/python ./client/src/main.py
|