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.gitignore
vendored
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176
.gitignore
vendored
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# Created by https://www.toptal.com/developers/gitignore/api/python
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# Edit at https://www.toptal.com/developers/gitignore?templates=python
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### Python ###
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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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# This is especially recommended for binary packages to ensure reproducibility, and is more
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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.fming.dev/#use-with-ide
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.pdm.toml
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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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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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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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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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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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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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### Python Patch ###
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# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
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poetry.toml
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# ruff
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.ruff_cache/
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# LSP config files
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pyrightconfig.json
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# End of https://www.toptal.com/developers/gitignore/api/python
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78
README.md
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78
README.md
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# VoicePeak API Service
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このプロジェクトは、VoicePeakを使用して音声を生成し、生成された音声データを提供するAPIサーバーです。
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PythonのFlaskフレームワークを使用し、Ubuntu上で動作します。
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## プロジェクト構成
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```
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/path/to/your/project
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├── app.py
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├── requirements.txt
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├── venv/
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└── voicepeak-api.service
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```
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## 前提条件
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- Ubuntuがインストールされたシステム
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- VoicePeakがホストOSにインストールされ、動作すること
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## セットアップ手順
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### 1. リポジトリのクローン
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リポジトリをクローンします。
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```bash
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git clone *******
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```
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### 2. Pythonの仮想環境を作成
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仮想環境を作成し、必要なパッケージをインストールします。
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```bash
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# 仮想環境の作成
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python3 -m venv venv
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# 仮想環境のアクティベート
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source venv/bin/activate
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# 必要なパッケージのインストール
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pip install -r requirements.txt
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```
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### 3. Systemdサービスの設定
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`voicepeak-api.service`ファイルを適切な内容に編集します。
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`voicepeak-api.service`ファイルをシステムのsystemdサービスディレクトリにシンボリックリンクを作成します。
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```bash
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sudo ln -s /path/to/your/project/voicepeak-api.service /etc/systemd/system/voicepeak-api.service
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```
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### 4. サービスのリロードと起動
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systemdに新しいサービスを認識させ、サービスを起動します。
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```bash
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# systemdデーモンのリロード
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sudo systemctl daemon-reload
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# サービスの開始
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sudo systemctl start voicepeak-api.service
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# サービスの有効化(再起動後も自動で起動するようにする)
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sudo systemctl enable voicepeak-api.service
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```
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### 5. 動作確認
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サービスが正常に起動しているか確認します。
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```bash
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sudo systemctl status voicepeak-api.service
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```
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## 使用方法
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サービスが正常に起動している場合、以下のようにリクエストを送信して音声を生成できます。
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```bash
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curl -X POST http://127.0.0.1:5000/generate_voice -H "Content-Type: application/json" -d '{"text": "こんにちは"}' --output output.wav
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```
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_voicepeak-api.service
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_voicepeak-api.service
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[Unit]
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Description=VoicePeak API Service
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After=network.target
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[Service]
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User=your_user
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Group=your_group
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WorkingDirectory=/path/to/your/project
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Environment="PATH=/path/to/your/project/venv/bin"
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ExecStart=/path/to/your/project/venv/bin/python /path/to/your/project/app.py
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Restart=always
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[Install]
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WantedBy=multi-user.target
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app.py
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app.py
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from flask import Flask, request, jsonify, send_file
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import subprocess
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import os
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import logging
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import uuid
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from dotenv import load_dotenv
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# .envファイルを読み込む
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load_dotenv()
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app = Flask(__name__)
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# 環境変数から基本設定を取得
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VOICEPEAK_PATH = os.getenv('VOICEPEAK_PATH')
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PROJECT_PATH = os.getenv('PROJECT_PATH')
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def _build_command_args(args):
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return [
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args['voicepeak_path'],
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"-s", args['script'],
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"-n", args['narrator'],
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"-o", args['output_path'],
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"-e", args['emotions'],
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"--pitch", str(args['pitch']),
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]
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def _synthesize_with_voicepeak(script, narrator, emotions, pitch, output_path, retries=3):
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args = {
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'voicepeak_path': VOICEPEAK_PATH,
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'script': script,
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'narrator': narrator,
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'output_path': output_path,
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'emotions': emotions,
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'pitch': pitch,
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}
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command_args = _build_command_args(args)
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for attempt in range(retries):
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try:
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subprocess.run(command_args, check=True)
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if os.path.exists(output_path):
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return output_path
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except subprocess.CalledProcessError as e:
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error_message = f"VoicePeak synthesis failed on attempt {attempt + 1}: {e}"
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logging.error(error_message)
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if attempt < retries - 1:
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logging.info(f"Retrying... ({attempt + 2}/{retries})")
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else:
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raise RuntimeError(error_message) from e
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error_message = f"Expected audio file not found after {retries} attempts: {output_path}"
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logging.error(error_message)
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raise FileNotFoundError(error_message)
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@app.route('/generate_voice', methods=['POST'])
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def generate_voice():
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try:
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data = request.json
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text = data.get('text')
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narrator = data.get('narrator', '1')
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emotion_happy = data.get('emotion_happy', '0')
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emotion_sad = data.get('emotion_sad', '0')
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emotion_angry = data.get('emotion_angry', '0')
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emotion_fun = data.get('emotion_fun', '0')
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pitch = data.get('pitch', '1')
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if not text:
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return jsonify({'error': 'Text is required'}), 400
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emotions = f"happy={emotion_happy},sad={emotion_sad},angry={emotion_angry},fun={emotion_fun}"
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unique_id = str(uuid.uuid4())
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output_file = os.path.join(PROJECT_PATH, f'{unique_id}.wav')
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_synthesize_with_voicepeak(text, narrator, emotions, pitch, output_file)
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response = send_file(output_file, mimetype='audio/wav')
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os.remove(output_file)
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return response
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=5000)
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19
manage_service.sh
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manage_service.sh
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#!/bin/bash
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SERVICE_NAME="voicepeak-api.service"
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# サービスの状態を確認
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SERVICE_STATUS=$(systemctl is-active $SERVICE_NAME)
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if [ "$SERVICE_STATUS" = "active" ]; then
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echo "Restarting $SERVICE_NAME..."
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sudo systemctl daemon-reload
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sudo systemctl restart $SERVICE_NAME
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else
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echo "Reloading and starting $SERVICE_NAME..."
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sudo systemctl daemon-reload
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sudo systemctl start $SERVICE_NAME
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fi
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# サービスの状態を表示
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sudo systemctl status $SERVICE_NAME
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3
requirements.txt
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3
requirements.txt
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Flask
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requests
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python-dotenv
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9
run_dev.sh
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9
run_dev.sh
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#!/bin/bash
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# 仮想環境をアクティブにする
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source venv/bin/activate
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# Flaskアプリケーションを起動
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export FLASK_APP=app.py
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export FLASK_ENV=development
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flask run --host=0.0.0.0 --port=5000
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15
voicepeak-api.service
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voicepeak-api.service
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[Unit]
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Description=VoicePeak API Service
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After=network.target
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[Service]
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User=ntki
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Group=ntki
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WorkingDirectory=/home/ntki/voicepeak_api
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Environment="PATH=/home/ntki/voicepeak_api/venv/bin"
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ExecStart=/home/ntki/voicepeak_api/venv/bin/python /home/ntki/voicepeak_api/app.py
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EnvironmentFile=/home/ntki/voicepeak_api/.env
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Restart=always
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[Install]
|
||||
WantedBy=multi-user.target
|
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