Audio
gllm-docproc | Tutorial : Audio Loader | Use Case: Advanced DPO Pipeline | API Reference
Audio Loader is designed for extracting information from Audio file.
Installation
# you can use a Conda environment
pip install --extra-index-url https://oauth2accesstoken:$(gcloud auth print-access-token)@glsdk.gdplabs.id/gen-ai-internal/simple/ "gllm-docproc[audio]"# you can use a Conda environment
$token = (gcloud auth print-access-token)
pip install --extra-index-url "https://oauth2accesstoken:$token@glsdk.gdplabs.id/gen-ai-internal/simple/" "gllm-docproc[audio]"# you can use a Conda environment
FOR /F "tokens=*" %T IN ('gcloud auth print-access-token') DO SET TOKEN=%T
pip install --extra-index-url "https://oauth2accesstoken:%TOKEN%@glsdk.gdplabs.id/gen-ai-internal/simple/" "gllm-docproc[audio]"You can use the following as a sample file: sample-audio-1.mp3.
Audio Loader
AudioLoader is responsible to extract information from audio file by utilizing the GLLM Multimodal Audio to Text.
1
Create a script called main.py:
from gllm_docproc.loader.audio import AudioLoader
source = "https://assets.analytics.glair.ai/generative/audio/sample-audio-1.mp3"
# initialize audio loader
loader = AudioLoader()
# load audio file
loaded_elements = loader.load(source)2
Run the script:
python main.py3
The loader will generate the following: output JSON.
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