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Audio Transcription

Use this to loadbalance across Azure + OpenAI.

Quick Start

from litellm import transcription
import os

# set api keys
os.environ["OPENAI_API_KEY"] = ""
audio_file = open("/path/to/audio.mp3", "rb")

response = transcription(model="whisper", file=audio_file)

print(f"response: {response}")

Proxy Usage

Add model to config

model_list:
- model_name: whisper
litellm_params:
model: whisper-1
api_key: os.environ/OPENAI_API_KEY
model_info:
mode: audio_transcription

general_settings:
master_key: sk-1234

Start proxy

litellm --config /path/to/config.yaml 

# RUNNING on http://0.0.0.0:8000

Test

curl --location 'http://0.0.0.0:8000/v1/audio/transcriptions' \
--header 'Authorization: Bearer sk-1234' \
--form 'file=@"/Users/krrishdholakia/Downloads/gettysburg.wav"' \
--form 'model="whisper"'