Hello, just wanted to start a discussion about running whisper-ctranslate2 in Docker. Referencing #109 of faster-whisper, I came up with the following Dockerfile, which works.
# Use Ubuntu as base
FROM ubuntu:20.04
# Alternatively, use a base image with CUDA and cuDNN support
# FROM nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu20.04
# Install necessary dependencies
RUN apt-get update && apt-get install -y python3-pip
# Set the working directory
WORKDIR /app
# Copy the app code and requirements filed
COPY . /app
# Install dependencies
RUN pip3 install --no-cache-dir -r requirements.txt
# Install whisper-ctranslate2
RUN pip install -U whisper-ctranslate2
# Set the entry point
ENTRYPOINT ["whisper-ctranslate2"]
Build with: docker build -t asr .
Run with: docker run --rm -v /path/to/folder:/app --gpus '"device=0,1"' asr myfile.mp3 --compute_type int8
My observations are:
If the entrypoint is set, the container will not show transcribed lines as it runs. The result are only printed afterwards
However, The progress can be shown if you run the docker container (without the entrypoint) in interactive mode
Hello, just wanted to start a discussion about running whisper-ctranslate2 in Docker. Referencing #109 of faster-whisper, I came up with the following Dockerfile, which works.
Build with:
docker build -t asr .
Run with:docker run --rm -v /path/to/folder:/app --gpus '"device=0,1"' asr myfile.mp3 --compute_type int8
My observations are: