The Whisper JAX demo can be used as an endpoint through the Gradio Client library. The transcription API takes as input the audio file you want to transcribe, as well as optional arguments such as the task (transcribe or translate) and whether to return timestamps.

whisper_jax_endpoint.py

from gradio_client import Client


API_URL = "https://sanchit-gandhi-whisper-jax.hf.space/"

# set up the Gradio client
client = Client(API_URL)


def transcribe_audio(audio_path, task="transcribe", return_timestamps=False):
    """Function to transcribe an audio file using the Whisper JAX endpoint."""
    if task not in ["transcribe", "translate"]:
        raise ValueError("task should be one of 'transcribe' or 'translate'.")

    text, runtime = client.predict(
        audio_path,
        task,
        return_timestamps,
        api_name="/predict_1",
    )
    return text


# transcribe an audio file using the Whisper JAX endpoint
output = transcribe_audio("audio.mp3")

# transcribe and return timestamps
output_with_timestamps = transcribe_audio("audio.mp3", return_timestamps=True)

Can we do it with only requests instead of using gradio_client why do we need that can we do that ?

I leave a working sample here: https://colab.research.google.com/drive/11J39vhEu-JfPOoMK9P_d9lU7f_9ZHJ_w hope others find it helpful.

@abdshomad @sanchit-gandhi can you please make available whisper jax with diarization because i testes it on a 40min icelandic audio and it always return error

@sanchit-gandhi Any way to increase the timeout? The default seems to be 60 seconds.

The API_URL seems to only be forwarding gateway. And now the gateway is failing. Where was the service running on the other end?

https://sanchit-gandhi-whisper-jax.hf.space/ is just an nginx container to forward requests to the API_URL stored in the hugging face secret for the project.