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update whisper pod transcript for re-deploy (#1073)
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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.
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You can find the app here: https://modal-labs--whisper-pod-transcriber-fastapi-app.modal.run/
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You can find our deployment of the app [here](https://modal-labs-examples--whisper-pod-transcriber-fastapi-app.modal.run/).
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## Architecture
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06_gpu_and_ml/openai_whisper/pod_transcriber/app/frontend/index.html

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</script>
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<a
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class="github-corner"
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href="https://github.com/modal-labs/modal-examples/tree/main/06_gpu_and_ml/whisper_pod_transcriber"
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href="https://github.com/modal-labs/modal-examples/tree/main/06_gpu_and_ml/openai_whisper/pod_transcriber"
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target="_blank"
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id="fork-corner"
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title="Fork me on GitHub"

06_gpu_and_ml/openai_whisper/pod_transcriber/app/frontend/src/routes/episode.tsx

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<span className="modal-barloader rotate-[60deg]"></span>
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</div>
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<span className="pt-1">
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<strong>{containerCount} Modal containers running</strong>
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<strong>Running on Modal</strong>
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</span>
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</div>
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<ProgressBar

06_gpu_and_ml/openai_whisper/pod_transcriber/app/main.py

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"loguru==0.6.0",
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"torchaudio==2.1.0",
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"fastapi[standard]==0.115.4",
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"numpy<2",
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)
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.apt_install("ffmpeg")
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.pip_install("ffmpeg-python")

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