Kann ich diclip vibecoden?

Build me a personal substitute for diclip, not a platform clone.

- Use Python 3.12 + FastAPI for a localhost web app, a plain JavaScript
  frontend, faster-whisper for word-level transcription, and FFmpeg for
  rendering.
- I import an MP4, MOV, WebM, or MP3 file and get a transcript synced to the
  video with speaker timing.
- A ranking step selects the strongest 30-90 second moments: call an LLM API
  key from .env with the transcript, or fall back to a local heuristic
  (keyword density, question marks, pauses) when no key is set.
- Show each candidate clip with its hook line, a confidence score, and a one
  sentence reason, marked ready or pending.
- Let me accept or reject each clip, edit in/out points, and choose 9:16, 1:1,
  or 16:9 output.
- Render clips with FFmpeg using center-crop or blur-pad, burning captions
  styled by speaker. Never overwrite the source. Show progress and a useful
  failure message.
- Store projects as JSON under ~/diclipDIY/projects and renders under
  ~/diclipDIY/exports, with a recent-projects page and a delete action.
- Bind to localhost only. No accounts, telemetry, or network calls after the
  model and transcript are local, except the optional LLM ranking call.
- Deliberately exclude face-aware reframing with seat tracking, the full
  in-browser timeline editor, cloud container rendering, yt-dlp downloads, and
  credit billing.
- Add unit tests for the ranking fallback and caption grouping, plus one smoke
  test that imports a short fixture and produces a playable MP4.
- Include a README with setup, data paths, and an honest note that CPU
  transcription and rendering are slow on long videos.

Antworte mir auf Deutsch. Oberfläche, Kommentare und README auf Deutsch, alle Bezeichner wie Tabellen, Spalten, Variablen, Routen und Dateinamen bleiben Englisch.