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        "author": "Picovoice",
        "author_email": "hello@picovoice.ai",
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            "License :: OSI Approved :: Apache Software License",
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        "description": "\n#[Porcupine](https://github.com/Picovoice/porcupine).   \n\nIt supports Linux (x86_64), Mac, Raspberry Pi (Zero, 1, 2, 3), and BeagleBone.\n\n## Installation\n\n```bash\npip install pvporcupine\n```\n\nIf it fails to install PyAudio, you can do the following for Debian/Ubuntu as referenced in the installation guide\nof [PyAudio](https://people.csail.mit.edu/hubert/pyaudio/). \n\nInstall PyAudio  \n\n```bash\nsudo apt-get install python-pyaudio python3-pyaudio\n```\n\nIf the above fails then first run the following\n\n```bash\nsudo apt-get install portaudio19-dev\nsudo apt-get install python-all-dev python3-all-dev\n```\n\n## Usage\n\n### Realtime Demo\n\nMake sure you have a working microphone connected to your device first. From commandline type the following\n\n```bash\npvporcupine_mic --keywords picovoice\n```\n\nThen say 'picovoice'. The demo processes audio steam from microphone in realtime and detects utterances of 'picovoice'\n\n### File-Based Demo\n\n```bash\npvporcupine_file --input_audio_file_path ${INPUT_AUDIO_FILE_PATH} --keywords bumblebee\n```\n\nReplace `${INPUT_AUDIO_FILE_PATH}` with a valid path to an audio file (e.g. WAV or FLAC). The demo scans the file\nfor occurrences of 'bumblebee'.\n\nIn order get more information about using demos run them with '--help' argument or look into their GitHub page\n[here](https://github.com/Picovoice/porcupine/tree/master/demo/python).\n\n### Porcupine Class\n\nYou can create an instance of Porcupine engine for use within your application using the factory method provided as\nbelow\n\n```python\nimport pvporcupine\n\npvporcupine.create(keywords=pvporcupine.KEYWORDS())\n```\n\n`pvporcupine.KEYWORDS()` is the set of default keyword files that ships with the PIP package across all platforms. In\norder to use your own keyword file you can instantiate the object as follows:\n\n```python\nimport pvporcupine\n\nkeyword_file_1_path = ...\nkeyword_file_2_path = ...\nkeyword_file_3_path = ...\n\npvporcupine.create(keyword_file_paths=[keyword_file_1_path, keyword_file_2_path, keyword_file_3_path])\n```\n\n\n\n",
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        "name": "pvporcupine",
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        "summary": "On-device wake word detection powered by deep learning.",
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