| Name | llm-whisper-api JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | None |
| Summary | Run transcriptions using the OpenAI Whisper API |
| upload_time | 2024-10-27 15:52:21 |
| maintainer | None |
| docs_url | None |
| author | Simon Willison |
| requires_python | >=3.9 |
| license | Apache-2.0 |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# llm-whisper-api
[](https://pypi.org/project/llm-whisper-api/)
[](https://github.com/simonw/llm-whisper-api/releases)
[](https://github.com/simonw/llm-whisper-api/actions/workflows/test.yml)
[](https://github.com/simonw/llm-whisper-api/blob/main/LICENSE)
Run transcriptions using the OpenAI Whisper API
## Installation
Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
```bash
llm install llm-whisper-api
```
## Usage
The plugin adds a new command, `llm whisper-api`. Use it like this:
```bash
llm whisper-api audio.mp3
```
The transcribed audio will be output directly to standard output as plain text.
The plugin will use the OpenAI API key you have already configured using:
```bash
llm keys set openai
# Paste key here
```
You can also pass an explicit API key using `--key` like this:
```bash
llm whisper-api audio.mp3 --key $OPENAI_API_KEY
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-whisper-api
python -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
llm install -e '.[test]'
```
To run the tests:
```bash
python -m pytest
```
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