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| title: Accent Detection | |
| emoji: π | |
| colorFrom: red | |
| colorTo: red | |
| sdk: docker | |
| app_port: 8501 | |
| tags: | |
| - streamlit | |
| pinned: false | |
| short_description: Streamlit template space | |
| ## π How to Use | |
| π [Click here to open the app](https://huggingface.co/spaces/MoadMerroun/accent-detection) | |
| 1. Paste a public video URL (e.g., Google Drive MP4 link) | |
| 2. Click "Analyze" | |
| 3. See results: accent + confidence score | |
| > β οΈ Only works with publicly accessible video links (not password-protected). | |
| ## βοΈ Local Setup | |
| ```bash | |
| # Clone repo | |
| git clone https://huggingface.co/spaces/MoadMerroun/accent-detection | |
| cd accent-detector | |
| # Create virtual environment | |
| python -m venv venv | |
| source venv/bin/activate # or venv\Scripts\activate on Windows | |
| # Install dependencies | |
| pip install -r requirements.txt | |
| # Run Streamlit app | |
| streamlit run .\src\streamlit_app.py | |
| ``` | |