WhisperX
Audio diarization model
Deploy WhisperX behind an API endpoint in seconds.
Example usage
1import requests
2import os
3
4# Replace the empty string with your model id below
5model_id = ""
6baseten_api_key = os.environ["BASETEN_API_KEY"]
7
8data = {
9 "audio_file": "https://www2.cs.uic.edu/~i101/SoundFiles/gettysburg10.wav"
10}
11
12
13# Call model endpoint
14res = requests.post(
15 f"https://model-{model_id}.api.baseten.co/environments/production/predict",
16 headers={"Authorization": f"Api-Key {baseten_api_key}"},
17 json=data
18)
19
20# Print the output of the model
21print(res.json())JSON output
1[
2 {
3 "start": 0,
4 "end": 9.8,
5 "text": "Four score and seven years ago, our fathers brought forth on this continent a new nation, conceived in liberty and dedicated to the proposition that all men are created equal.",
6 "speaker": "SPEAKER_01"
7 }
8]
