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2 changes: 1 addition & 1 deletion 06_gpu_and_ml/openai_whisper/pod_transcriber/README.md
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This is a complete application that uses [OpenAI Whisper](https://github.com/openai/whisper) to transcribe podcasts. Modal spins up 100-300 containers for a single transcription run, so hours of audio can be transcribed on-demand in a few minutes.

You can find the app here: https://modal-labs--whisper-pod-transcriber-fastapi-app.modal.run/
You can find our deployment of the app [here](https://modal-labs-examples--whisper-pod-transcriber-fastapi-app.modal.run/).

## Architecture

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</script>
<a
class="github-corner"
href="https://github.com/modal-labs/modal-examples/tree/main/06_gpu_and_ml/whisper_pod_transcriber"
href="https://github.com/modal-labs/modal-examples/tree/main/06_gpu_and_ml/openai_whisper/pod_transcriber"
target="_blank"
id="fork-corner"
title="Fork me on GitHub"
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Expand Up @@ -197,7 +197,7 @@ function TranscribeProgress({
<span className="modal-barloader rotate-[60deg]"></span>
</div>
<span className="pt-1">
<strong>{containerCount} Modal containers running…</strong>
<strong>Running on Modal…</strong>
</span>
</div>
<ProgressBar
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1 change: 1 addition & 0 deletions 06_gpu_and_ml/openai_whisper/pod_transcriber/app/main.py
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"loguru==0.6.0",
"torchaudio==2.1.0",
"fastapi[standard]==0.115.4",
"numpy<2",
)
.apt_install("ffmpeg")
.pip_install("ffmpeg-python")
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