Add compose-based backend runtime on python 3.14
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12
README.md
12
README.md
@@ -9,8 +9,17 @@ Two separate Python packages live here:
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The repo also includes a Gitea Actions workflow at `.gitea/workflows/ci.yml` that tests and builds both packages on pushes to `main` and pull requests.
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The repo also includes a Gitea Actions workflow at `.gitea/workflows/ci.yml` that tests and builds both packages on pushes to `main` and pull requests.
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## Backend setup
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## Docker backend (no image build)
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Run the backend directly from an official Python image without creating a Dockerfile:
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```bash
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docker compose up backend
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```
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This uses `python:3.14-slim`, installs `ffmpeg` and `openai-whisper` at container startup, mounts this repo into the container, and serves the API on `http://localhost:8000`.
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## Backend setup
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```bash
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```bash
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cd backend
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cd backend
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pip install -e .
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pip install -e .
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@@ -50,3 +59,4 @@ whisper-remote ./audio.mp3 --model base --language en --output-format txt
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- backend-side cleanup of uploaded and generated files after each request
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- backend-side cleanup of uploaded and generated files after each request
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By default the CLI prints the returned transcript to stdout. Use `--to-file` to save it locally.
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By default the CLI prints the returned transcript to stdout. Use `--to-file` to save it locally.
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22
docker-compose.yml
Normal file
22
docker-compose.yml
Normal file
@@ -0,0 +1,22 @@
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services:
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backend:
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image: python:3.14-slim
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working_dir: /app/backend
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ports:
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- "8000:8000"
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volumes:
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- ./:/app
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- whisper_cache:/root/.cache
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environment:
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- PYTHONUNBUFFERED=1
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command: >-
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sh -lc "
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apt-get update
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&& apt-get install -y --no-install-recommends ffmpeg
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&& rm -rf /var/lib/apt/lists/*
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&& pip install --no-cache-dir -e . openai-whisper
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&& uvicorn server:app --app-dir src --host 0.0.0.0 --port 8000
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"
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volumes:
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whisper_cache:
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