# Demo Recording Script

The final submission should use the AMD GPU version if credits arrive in time. Record the draft now so the story, screen flow, and timing are ready.

## Draft Demo Before AMD Credits

Target length: 2-3 minutes.

### Scene 1 - Problem

Show the title slide or Hugging Face Space.

Narration:

"Long-form creators need short clips for TikTok, Shorts, and Reels, but finding the best moments, trimming them, and adding subtitles can take hours."

### Scene 2 - Channel Profile

Open the local web app at `http://localhost:5173`.

Set:

- Niche: `education`, `gaming`, or `podcast`
- Clip style: `funny` or `informative`
- Clip length: `60`
- Language: `Thai`
- Platform: `tiktok`

Narration:

"ElevenClip.AI starts with a reusable channel profile, so highlight selection matches the creator's niche, language, style, and target platform."

### Scene 3 - Video Input

Upload a short MP4 file or paste a YouTube URL.

Narration:

"The app accepts uploaded files or YouTube URLs. In production, the backend downloads the source, transcribes it, ranks highlights, and renders clips."

### Scene 4 - AI Pipeline

Click Start Pipeline and show progress.

Narration:

"The AMD version runs Whisper Large V3 for transcription, Qwen2.5 for profile-aware highlight scoring, optional Qwen2-VL for visual signals, and ffmpeg for clip generation."

### Scene 5 - Human-AI Editor

Show generated clips.

Edit a subtitle line, change start/end, approve a clip, and click download.

Narration:

"AI creates the first pass, but the creator stays in control. They can trim clips, edit subtitles, delete weak clips, regenerate a specific clip, approve, and download."

### Scene 6 - AMD GPU Plan

Show README or benchmark placeholder.

Narration:

"Once AMD Developer Cloud credits are active, the same pipeline runs on ROCm and AMD Instinct MI300X. We will benchmark CPU versus AMD GPU and target ten subtitled clips from a two-hour video in under ten minutes."

## Final Demo After AMD Credits

Target length: 3-4 minutes.

Add these shots to the draft demo:

1. AMD Developer Cloud instance page.
2. Terminal showing ROCm/GPU visibility:

```bash
rocminfo | head
python - <<'PY'
import torch
print(torch.cuda.is_available())
print(torch.cuda.get_device_name(0))
print(torch.version.hip)
PY
```

3. Backend running with `DEMO_MODE=false`.
4. Benchmark command:

```bash
python scripts/benchmark.py --youtube-url "<demo-video-url>" --language Thai --style informative --niche education --clip-length 60
```

5. Timing JSON showing `input`, `transcription`, `highlight_detection`, `clip_generation`, and `total`.
6. Final clips shown in the editor.

## Recording Checklist

- Browser zoom at 100%.
- Use a short clean video for draft demo.
- Hide private tokens and email inboxes.
- Keep terminal text large enough to read.
- Record in 1080p or higher.
- End with GitHub URL, Hugging Face Space URL, and AMD/ROCm benchmark result.