| title | Scene Mood Classifier | |
|---|---|---|
| emoji | 🎬 | |
| colorFrom | indigo | |
| colorTo | purple | |
| sdk | gradio | |
| app_file | fusion-app/app_local.py | |
| pinned | false | |
| hf_oauth | true | |
| hf_oauth_scopes |
|
Upload a video or image+audio pair to classify the mood/atmosphere of the scene.
- Local Mode (default): Uses locally downloaded models - works without login
- API Mode: Uses HuggingFace Inference API - requires sign-in with HuggingFace account
- For Local Mode: Just upload your media and analyze (no login needed)
- For API Mode:
- Click the "Sign in with Hugging Face" button
- Check "Use API Mode" checkbox
- Upload and analyze
This app demonstrates multimodal fusion for scene mood classification using CLIP (vision) and Wav2Vec2 (audio) models.