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32 lines
1.2 KiB
Markdown
32 lines
1.2 KiB
Markdown
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# Audio File Loader
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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`.
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## Usage
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To use this loader, you need to pass in a `Path` to a local file.
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Please check following parameters on [Gladia](https://www.gladia.io/) before proceeding further.
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1. gladia_api_key
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2. diarization_max_speakers
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3. language
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4. language_behaviour
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5. target_translation_language
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6. transcription_hint
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You need to signup on [Gladia](https://www.gladia.io/) to get `API-KEY`
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```python
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from pathlib import Path
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from llama_index import download_loader
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AudioTranscriber = download_loader("AudioTranscriber")
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# using gladia
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loader = AudioTranscriber(model_type = 'gladia', gladia_api_key = 'YOUR API KEY')
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documents = loader.load_data(file=Path('./podcast.mp3'))
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```
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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.
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