mirror of
https://github.com/run-llama/llama-hub.git
synced 2025-08-14 19:51:25 +00:00
32 lines
1.2 KiB
Markdown
32 lines
1.2 KiB
Markdown
# Audio File Loader
|
|
|
|
This loader uses Gladia's OpenAI's Whisper model to transcribe the text of an audio file or the audio track of a video file. The file formats .mp3 and .mp4 are preferred. A single local file is passed in each time you call `load_data`.
|
|
|
|
## Usage
|
|
|
|
To use this loader, you need to pass in a `Path` to a local file.
|
|
|
|
Please check following parameters on [Gladia](https://www.gladia.io/) before proceeding further.
|
|
|
|
1. gladia_api_key
|
|
2. diarization_max_speakers
|
|
3. language
|
|
4. language_behaviour
|
|
5. target_translation_language
|
|
6. transcription_hint
|
|
|
|
You need to signup on [Gladia](https://www.gladia.io/) to get `API-KEY`
|
|
|
|
```python
|
|
from pathlib import Path
|
|
from llama_index import download_loader
|
|
|
|
AudioTranscriber = download_loader("AudioTranscriber")
|
|
|
|
# using gladia
|
|
loader = AudioTranscriber(model_type = 'gladia', gladia_api_key = 'YOUR API KEY')
|
|
documents = loader.load_data(file=Path('./podcast.mp3'))
|
|
```
|
|
|
|
This loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/jerryjliu/gpt_index/tree/main/gpt_index) and/or subsequently used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent. See [here](https://github.com/emptycrown/llama-hub/tree/main) for examples.
|