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title: ShortSmith v2
emoji: 🎬
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: "4.44.1"
app_file: app.py
pinned: false
license: mit
hardware: a10g-large
tags:
- video
- highlight-detection
- ai
- qwen
- computer-vision
- audio-analysis
short_description: AI-Powered Video Highlight Extractor
---
# ShortSmith v2
Extract the most engaging highlight clips from your videos automatically using AI.
## Features
- Multi-modal analysis (visual + audio + motion)
- Domain-optimized presets (Sports, Music, Vlogs, etc.)
- Person-specific filtering
- Scene-aware clip cutting
- Trained on Mr. HiSum "Most Replayed" data
## Usage
1. Upload a video (up to 500MB, max 1 hour)
2. Select content domain (Sports, Music, Vlogs, etc.)
3. Choose number of clips and duration
4. (Optional) Upload reference image for person filtering
5. Click "Extract Highlights"
6. Download your clips!
## Tech Stack
- **Visual**: Qwen2-VL-2B (INT4 quantized)
- **Audio**: Librosa + Wav2Vec 2.0
- **Face Recognition**: InsightFace (SCRFD + ArcFace)
- **Hype Scoring**: MLP trained on Mr. HiSum dataset
- **Scene Detection**: PySceneDetect
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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