docs/roadmap.md

Roadmap

See [[final-build-plan]] for the detailed implementation plan.

Phase 1: Refactor Without Behavior Change

• Split app.py responsibilities into focused modules:
  • models.py
  • storage.py
  • transcription.py
  • llm.py
  • markdown.py
• Keep the existing single-recording endpoint working.
• Keep Hugging Face deployment working.

Phase 2: Meeting Session MVP

• Host creates meeting id and host key.
• Host receives participant join link and private host link.
• Participant joins with name label and recording mode.
• Participant submits audio segment.
• Host sees segment list.

Phase 3: Room Recorder Support

• Add room label.
• Add covered participants field.
• Render Room Recorder transcripts separately.
• Warn if in-person meeting has no Room Recorder.
• Warn if multiple Room Recorders may duplicate speech.

Phase 4: Transcript Correction and MoM

• Record or upload audio.
• Transcribe with Whisper base.
• Correct transcript using meeting context.
• Generate MoM.
• Save raw transcript, corrected transcript, and MoM as Markdown.
• Provide download buttons.

Phase 5: Hugging Face Persistence

• Store meeting Markdown outputs outside ephemeral Space disk.
• Preferred option: Hugging Face Dataset repo.
• Alternative options:
  • GitHub repo
  • Supabase
  • S3/R2-compatible object storage

Phase 6: Host Dashboard Polish

• Copy join link.
• Copy host link.
• Regenerate final MoM.
• Download Markdown bundle.
• Close meeting.

Phase 7: Optional Speaker Intelligence

• Add deduplication for same-room duplicate recordings.
• Evaluate diarization only after labelled multi-device mode is stable.
• Consider pyannote.audio only if hardware, latency, and token requirements are acceptable.