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Merge pull request #242 from jhj0517/feauter/add-compose
Browse files- README.md +13 -18
- docker-compose.yaml +31 -0
README.md
CHANGED
@@ -54,33 +54,28 @@ And you can also run the project with command line arguments if you like to, see
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- ## Running with Docker
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1.
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```sh
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-
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```
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2.
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- For bash :
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```sh
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docker
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-v /path/to/models:/Whisper-WebUI/models \
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-v /path/to/outputs:/Whisper-WebUI/outputs \
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-p 7860:7860 \
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-it \
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whisper-webui:latest --server_name 0.0.0.0 --server_port 7860
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```
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-p 7860:7860 `
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-it `
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whisper-webui:latest --server_name 0.0.0.0 --server_port 7860
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```
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# VRAM Usages
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This project is integrated with [faster-whisper](https://github.com/guillaumekln/faster-whisper) by default for better VRAM usage and transcription speed.
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- ## Running with Docker
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1. Git clone the repository
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```sh
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git clone https://github.com/jhj0517/Whisper-WebUI.git
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```
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2. Build the image ( Image is about 7GB~ )
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```sh
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docker compose build
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```
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3. Run the container
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```sh
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docker compose up
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```
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4. Connect to the WebUI with your browser at `http://localhost:7860`
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If needed, update the [`docker-compose.yaml`](https://github.com/jhj0517/Whisper-WebUI/blob/feauter/add-compose/docker-compose.yaml) to match your environment.
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# VRAM Usages
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This project is integrated with [faster-whisper](https://github.com/guillaumekln/faster-whisper) by default for better VRAM usage and transcription speed.
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docker-compose.yaml
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version: '3.8'
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services:
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app:
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build: .
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image: jhj0517/whisper-webui:latest
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volumes:
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# Update paths to mount models and output paths to your custom paths like this, e.g:
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# - C:/whisper-models/custom-path:/sam2-playground/models
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# - C:/whisper-webui-outputs/custom-path:/sam2-playground/outputs
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- /Whisper-WebUI/models
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- /Whisper-WebUI/outputs
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ports:
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- "7860:7860"
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stdin_open: true
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tty: true
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entrypoint: ["python", "app.py", "--server_port", "7860", "--server_name", "0.0.0.0",]
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# If you're not using nvidia GPU, Update device to match yours.
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# See more info at : https://docs.docker.com/compose/compose-file/deploy/#driver
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [ gpu ]
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