File size: 2,936 Bytes
00b7145 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | # 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.
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