Laurence
19c3e156a0
A runnable, self-hosted web interface so the whole workflow can be tested end to end: record or upload audio in the browser, watch it transcribe and summarise, browse a library, play back, and export. What changed: - server/app/store.py: SQLite + on-disk audio storage for recordings (stdlib only). - server/app/pipeline.py: background task audio -> transcribe -> summarise via the existing provider layer, updating status (queued/transcribing/summarising/done/error). - server/app/main.py: web API - POST upload, list, detail, audio (Range), delete, and export (txt/md/srt/vtt/json) - and serves the SPA at /. - server/app/web/: Plaud-style single-page UI (index.html, styles.css, app.js). Sidebar library, in-browser recording (MediaRecorder) + file upload, live status polling, audio player, summary (overview/key points/actions), timestamped transcript, exports. - server/Dockerfile + README: two-minute run instructions (default provider: Groq free tier for both Whisper + LLM), and a Docker option. - config: env prefix switched OPENSCRIBE_ -> NIGHTJAR_ to match the brand and the site tutorials; .env.example rewritten with a ready Groq quick-start. - state/TODO: web app recorded as done. Why: - User asked for a Plaud-like web interface to test how it all works. Nothing testable existed before (marketing site is a brochure; pipeline was unwired). This delivers a real, runnable product demo and effectively lands M5/M6 for the HTTP providers. Notes: - Slim by design: AI is offloaded to the configured provider, so no local ML deps needed for the demo. Byte-compiles clean; JS passes node --check. Local faster-whisper still needs its model (M5) for the fully-offline path. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
11 lines
514 B
Docker
11 lines
514 B
Docker
# SPDX-License-Identifier: GPL-3.0-only
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# Nightjar web app - runs the Plaud-style UI + API. AI is done by your configured
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# providers (default: Groq), so this image stays slim (no local ML deps).
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FROM python:3.11-slim
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WORKDIR /app
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RUN pip install --no-cache-dir \
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"fastapi>=0.111" "uvicorn[standard]>=0.30" "pydantic>=2.7" \
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"pydantic-settings>=2.3" "python-multipart>=0.0.9" "httpx>=0.27" "anthropic>=0.40"
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COPY app ./app
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EXPOSE 8000
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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