| Name | audio-processer JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | A Python package for audio recording and transcribing |
| upload_time | 2024-08-21 13:36:58 |
| maintainer | None |
| docs_url | None |
| author | Jesse Wei |
| requires_python | <4.0,>=3.12 |
| license | None |
| keywords |
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| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# audio_processer
A Python package for recording and transcribing audio.
- [audio\_processer](#audio_processer)
- [Installation](#installation)
- [Usage](#usage)
- [AudioRecorder](#audiorecorder)
- [Example: start recording](#example-start-recording)
- [Example: pause/resume recording](#example-pauseresume-recording)
- [Example: stop recording](#example-stop-recording)
- [AudioTranscriber](#audiotranscriber)
- [Example: Local whisper model and single audio file](#example-local-whisper-model-and-single-audio-file)
- [Example: Local whisper model and multiple audio file](#example-local-whisper-model-and-multiple-audio-file)
- [Example: Calling OpenAI API](#example-calling-openai-api)
- [Example: Using another model](#example-using-another-model)
## Installation
```bash
pip install audio_processer
```
## Usage
The package contains two classes: `AudioRecorder` and `AudioTranscriber`.
### AudioRecorder
#### Example: start recording
```python
recorder = AudioRecorder()
recorder.start_recording()
```
#### Example: pause/resume recording
```python
recorder = AudioRecorder()
recorder.toggle_recording()
```
#### Example: stop recording
```python
recorder = AudioRecorder()
recorder.stop_recording()
```
### AudioTranscriber
Before getting started, make sure you have already obtained an API key on OpenAI. If you have not done so, follow [this guide](https://platform.openai.com/docs/quickstart/create-and-export-an-api-key) to create one.
#### Example: Local whisper model and single audio file
```python
# Transcribe using local whisper model, which is the default
transcriber = AudioTranscriber('audio_1.wav')
transcriber.transcribe()
print(transcriber.texts)
```
#### Example: Local whisper model and multiple audio file
```python
# You can pass multiple audio files for transcribing
transcriber = AudioTranscriber('audio_1.wav', 'audio_2.wav')
transcriber.transcribe()
print(transcriber.texts)
```
#### Example: Calling OpenAI API
*Note: API usage fee applies.*
```python
# You can pass multiple audio files for transcribing
transcriber = AudioTranscriber('audio_1.wav', 'audio_2.wav', mode='remote')
transcriber.transcribe()
print(transcriber.texts)
```
#### Example: Using another model
*Note: this only applies when local whisper model is used*
```python
# Default is tiny.en
transcriber = AudioTranscriber('audio_1.wav', 'audio_2.wav', mode='local', model='base.en')
transcriber.transcribe()
print(transcriber.texts)
```
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"description": "# audio_processer\n\nA Python package for recording and transcribing audio.\n\n- [audio\\_processer](#audio_processer)\n - [Installation](#installation)\n - [Usage](#usage)\n - [AudioRecorder](#audiorecorder)\n - [Example: start recording](#example-start-recording)\n - [Example: pause/resume recording](#example-pauseresume-recording)\n - [Example: stop recording](#example-stop-recording)\n - [AudioTranscriber](#audiotranscriber)\n - [Example: Local whisper model and single audio file](#example-local-whisper-model-and-single-audio-file)\n - [Example: Local whisper model and multiple audio file](#example-local-whisper-model-and-multiple-audio-file)\n - [Example: Calling OpenAI API](#example-calling-openai-api)\n - [Example: Using another model](#example-using-another-model)\n\n## Installation\n\n```bash\npip install audio_processer\n```\n\n## Usage\n\nThe package contains two classes: `AudioRecorder` and `AudioTranscriber`.\n\n### AudioRecorder\n\n#### Example: start recording\n\n```python\nrecorder = AudioRecorder()\nrecorder.start_recording()\n```\n\n#### Example: pause/resume recording\n\n```python\nrecorder = AudioRecorder()\nrecorder.toggle_recording()\n```\n\n#### Example: stop recording\n\n```python\nrecorder = AudioRecorder()\nrecorder.stop_recording()\n```\n\n### AudioTranscriber\n\nBefore getting started, make sure you have already obtained an API key on OpenAI. If you have not done so, follow [this guide](https://platform.openai.com/docs/quickstart/create-and-export-an-api-key) to create one.\n\n#### Example: Local whisper model and single audio file\n\n```python\n# Transcribe using local whisper model, which is the default\ntranscriber = AudioTranscriber('audio_1.wav')\ntranscriber.transcribe()\nprint(transcriber.texts)\n```\n\n#### Example: Local whisper model and multiple audio file\n\n```python\n# You can pass multiple audio files for transcribing\ntranscriber = AudioTranscriber('audio_1.wav', 'audio_2.wav')\ntranscriber.transcribe()\nprint(transcriber.texts)\n```\n\n#### Example: Calling OpenAI API\n\n*Note: API usage fee applies.*\n\n```python\n# You can pass multiple audio files for transcribing\ntranscriber = AudioTranscriber('audio_1.wav', 'audio_2.wav', mode='remote')\ntranscriber.transcribe()\nprint(transcriber.texts)\n```\n\n#### Example: Using another model\n\n*Note: this only applies when local whisper model is used*\n\n```python\n# Default is tiny.en\ntranscriber = AudioTranscriber('audio_1.wav', 'audio_2.wav', mode='local', model='base.en')\ntranscriber.transcribe()\nprint(transcriber.texts)\n```\n\n",
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