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ortizcruz
2023-09-22 14:21:28 +02:00
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@@ -25,8 +25,10 @@ The following command will pull and install the latest commit from this reposito
pip install git+https://github.com/JSchmie/autotranscript.git pip install git+https://github.com/JSchmie/autotranscript.git
- **Python version**: Python 3.9 - **Python version**: Python 3.8
- **PyTorch version**: Python 1.11.0 - **PyTorch version**: Python 1.11.0
- **CUDA version**: Cuda-toolkit 11.3.1
Important: For the `Pyannote` model you need to be granted access in Hugging Face. 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. Check the [Pyannote model page](https://huggingface.co/pyannote/speaker-diarization) to get access to the model.
@@ -41,6 +43,10 @@ We've developed ScrAIbe with several access points to cater to diverse user need
It enables full control over the functionalities as well as process customization. It enables full control over the functionalities as well as process customization.
Some usage examples:
- Usage of `AutoTranscribe`, core of the transcription system, for performing trancription and diarization of audio files.
```python ```python
from scraibe import AutoTranscribe from scraibe import AutoTranscribe
@@ -79,15 +85,26 @@ Run the following to view all available options:
After you have installed Docker, you can execute the following commands in the terminal. 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 build . --build-arg="hf_token=[enter your HuggingFace token] " -t [image name]
sudo docker run --rm -it -p 7860:7860 --name [container name][image name] --hf_token [enter your HuggingFace token] --start_server sudo docker run -it -p 7860:7860 --name [container name][image name] --hf_token [enter your HuggingFace token] --start_server
``` ```
- `-p`: Flag for connecting the container interal port to the port on your local machine.
- `--hf_token`: Flag for entering your personal HuggingFace token in the container.
- `--start_server`: Command to start the Gradio App.
Then click the following link to run the app: Then click the following link to run the app:
http://0.0.0.0:7860 http://0.0.0.0:7860
- Enabling GPU usage
```
sudo docker run -it -p 7860:7860 --gpus 'all,capabilities=utility' --name [container name][image name] --hf_token [enter your HuggingFace token] --start_server
```
For further guidance check: https://blog.roboflow.com/use-the-gpu-in-docker/
## Documentation ## Documentation