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| title: Near Continuous Whispering | |
| emoji: ⚡ | |
| colorFrom: yellow | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 3.4.1 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| The near-continuous speech recognition demo using [OpenAI whisper](https://github.com/openai/whisper), built using [Gradio](https://gradio.app/). | |
| ### How to run? | |
| Install openai/whisper | |
| pip install git+https://github.com/openai/whisper.git | |
| Install requirements | |
| pip install -r requirements.txt | |
| Start the Gradio app | |
| python whisper_demo.py | |
| ### Simple Notes | |
| 1. The near-continuous recognition is implemented by incrementally recognizing all historical audio streaming every N seconds. The config is `REC_INTERVAL_IN_SECONDS` | |
| 2. The near-continuous recognition is in fact quite broken(slow) and only used for demo purpose. You should try a web socket way for real time recognition by referring to https://github.com/shirayu/whispering | |
| 3. For update-to-date code, please refer to https://github.com/nomorewzx/near-continuous-whispering |