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added Docker commands, Info HF model and token

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ortizcruz
2023-09-11 14:54:03 +02:00
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@@ -27,7 +27,12 @@ The following command will pull and install the latest commit from this reposito
- **Python version**: Python 3.9 - **Python version**: Python 3.9
- **PyTorch version**: Python 1.11.0 - **PyTorch version**: Python 1.11.0
Important: For the `Pyannote` model you need to be granted access in Hugging Face.
Check the [Pyannote model page](https://huggingface.co/pyannote/speaker-diarization) to get access to the model.
Additionally, you need to generate a [Hugging Face token](https://huggingface.co/docs/hub/security-tokens).
## Usage ## Usage
We've developed ScrAIbe with several access points to cater to diverse user needs. We've developed ScrAIbe with several access points to cater to diverse user needs.
@@ -58,7 +63,7 @@ You can also run ScrAIbe in a [Gradio App](https://github.com/gradio-app/gradio)
Some example of important functionalities are: Some example of important functionalities are:
- `--task`: Task to be performed, either transcription, diarization or translation into English. Default is transcription. - `--task`: Task to be performed, either transcription, diarization or translation into English. Default is transcription.
- `--hf-token`: To download the models, a [Hugging Face token](https://huggingface.co/docs/hub/security-tokens) must be generated. Check [Hugging Face](https://huggingface.co/docs/hub/models) for further information on how to access the models. - `--hf-token`: Personal `Hugging Face` token.
- `--server-name`: Name of the Web Server. If empty 127.0.0.1 or 0.0.0.0 will be used. - `--server-name`: Name of the Web Server. If empty 127.0.0.1 or 0.0.0.0 will be used.
- `--port`: To run the Gradio app. The default is 7860. - `--port`: To run the Gradio app. The default is 7860.
@@ -69,6 +74,21 @@ Run the following to view all available options:
autotranscript -h autotranscript -h
### Running a Docker container
After you have installed Docker, you can execute the following commands in the terminal.
```
sudo docker build . --build-arg="hf_token=[enter your HuggingFace token] " --no-cache -t [image name]
sudo docker run --rm -it -p 7860:7860 --name [container name][image name] --hf_token [enter your HuggingFace token] --start_server
```
Then click the following link to run the app:
http://0.0.0.0:7860
## Documentation ## Documentation
For further insights check the [documentation page](https://cristinaortizcruz.github.io/Test/). For further insights check the [documentation page](https://cristinaortizcruz.github.io/Test/).