From 1446bd0cdaeb49c70ed5aae45ab8ef615ef0b067 Mon Sep 17 00:00:00 2001 From: Hossein Rashidi Date: Mon, 19 Aug 2024 15:06:11 +0200 Subject: [PATCH 1/3] Add docker config --- Dockerfile | 44 +++++++++++++++++++++++++++++ README.md | 44 ++++++++++++++++++++++++++++- docker-compose.yaml | 68 +++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 155 insertions(+), 1 deletion(-) create mode 100644 Dockerfile create mode 100644 docker-compose.yaml diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..af2a64d --- /dev/null +++ b/Dockerfile @@ -0,0 +1,44 @@ +# Use NVIDIA CUDA as base image +FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04 + +# Build args +ARG INSTALL_FLASH_ATTENTION=false + +# Set working directory +WORKDIR /app + +# Set environment variables to non-interactive (this prevents some prompts) +ENV DEBIAN_FRONTEND=non-interactive + +# Install required libraries, tools, and Python3 +RUN apt-get update && apt-get install -y ffmpeg curl git python3.10 python3-pip + +# Install poetry +RUN curl -sSL https://install.python-poetry.org | python3 - + +# Update PATH +RUN echo 'export PATH="/root/.local/bin:$PATH"' >> /root/.bashrc +ENV PATH="/root/.local/bin:$PATH" + +# Copy project files into the container +COPY . /app + +# Install the package with poetry +RUN poetry install + +# Install flash attention +RUN poetry run pip install torch --index-url https://download.pytorch.org/whl/cu121 +RUN if [[ "$INSTALL_FLASH_ATTENTION" = "true" ]] ; then \ + poetry run pip install flash-attn --no-build-isolation; \ + else \ + echo Skip flash_atten installation ; \ + fi + +# Disable buffering for stdout and stderr to get the logs in real time +ENV PYTHONUNBUFFERED=1 + +# Expose the desired port +EXPOSE 8000 + +# Run the app +CMD ["poetry", "run", "aana", "deploy", "aana_chat_with_video.app:aana_app", "--host", "0.0.0.0"] diff --git a/README.md b/README.md index d85524c..6c6f8de 100644 --- a/README.md +++ b/README.md @@ -54,4 +54,46 @@ Once the application is running, you will see the message `Deployed successfully 2. Send a POST request to the app. -See [Chat with Video Demo notebook](notebooks/chat_with_video_demo.ipynb) for more information. \ No newline at end of file +See [Chat with Video Demo notebook](notebooks/chat_with_video_demo.ipynb) for more information. + +## Running with Docker + +We provide a docker-compose configuration to run the application in a Docker container. + +Requirements: + +- Docker Engine >= 26.1.0 +- Docker Compose >= 1.29.2 +- NVIDIA Driver >= 525.60.13 + +To run the application, simply run the following command: + +```bash +docker-compose up +``` + +The application will be accessible at `http://localhost:8000` on the host server. + + +> **⚠️ Warning** +> +> The applications require 1 GPUs to run. +> +> The applications will detect the available GPU automatically but you need to make sure that `CUDA_VISIBLE_DEVICES` is set correctly. +> +> Sometimes `CUDA_VISIBLE_DEVICES` is set to an empty string and the application will not be able to detect the GPU. Use `unset CUDA_VISIBLE_DEVICES` to unset the variable. +> +> You can also set the `CUDA_VISIBLE_DEVICES` environment variable to the GPU index you want to use: `CUDA_VISIBLE_DEVICES=0 docker-compose up`. + + +> **💡Tip** +> +> Some models use Flash Attention for better performance. You can set the build argument `INSTALL_FLASH_ATTENTION` to `true` to install Flash Attention. +> +> ```bash +> INSTALL_FLASH_ATTENTION=true docker-compose build +> ``` +> +> After building the image, you can use `docker-compose up` command to run the application. +> +> You can also set the `INSTALL_FLASH_ATTENTION` environment variable to `true` in the `docker-compose.yaml` file. diff --git a/docker-compose.yaml b/docker-compose.yaml new file mode 100644 index 0000000..b4e1f7e --- /dev/null +++ b/docker-compose.yaml @@ -0,0 +1,68 @@ +version: '3.8' + +services: + postgres: + restart: always + container_name: aana_chat_with_video_db + image: postgres + command: postgres -c 'max_connections=1000' + healthcheck: + test: /usr/bin/pg_isready + timeout: 45s + interval: 10s + retries: 10 + ports: + - '15430:15430' + expose: + - 15430 + environment: + PGPASSWORD: '${POSTGRES_PASSWORD:-Yf?5nX39}' + PGUSER: '${POSTGRES_USER:-aana_db_user}' + PGDATABASE: '${POSTGRES_DB:-aana_db}' + POSTGRES_PASSWORD: '${POSTGRES_PASSWORD:-Yf?5nX39}' + POSTGRES_USER: '${POSTGRES_USER:-aana_db_user}' + POSTGRES_DB: '${POSTGRES_DB:-aana_db}' + PGPORT: '15430' + PGDATA: '/pgdata' + volumes: + - pg_data:/pgdata + + aana_chat_with_video_app: + restart: always + container_name: aana_chat_with_video_app + depends_on: + postgres: + condition: service_healthy + ports: + - 8000:8000 # request server + expose: + - '8000' + build: + context: . + dockerfile: Dockerfile + args: + INSTALL_FLASH_ATTENTION: '${INSTALL_FLASH_ATTENTION:-false}' + deploy: + resources: + reservations: + devices: + - capabilities: ["gpu"] + environment: + CUDA_VISIBLE_DEVICES: + HF_HUB_ENABLE_HF_TRANSFER: '${HF_HUB_ENABLE_HF_TRANSFER:-1}' + HF_TOKEN: '${HF_TOKEN}' + HF_DATASETS_CACHE: /root/.cache/huggingface + NUM_WORKERS: '${NUM_WORKERS:-2}' + TMP_DATA_DIR: /tmp/aana_data + DB_CONFIG: '{"datastore_type":"postgresql","datastore_config":{"host":"postgres","port":"15430","user":"${POSTGRES_USER:-aana_db_user}","password":"${POSTGRES_PASSWORD:-Yf?5nX39}","database":"${POSTGRES_DB:-aana_db}"}}' + volumes: + - app_data:/tmp/aana_data + - hf_datasets_cache:/root/.cache/huggingface + +volumes: + pg_data: + name: aana_chat_with_video_postgres_data + app_data: + name: aana_chat_with_video_app_data + hf_datasets_cache: + name: hf_datasets_cache From 525008ad0728c4027dcc35ba391282235e234d90 Mon Sep 17 00:00:00 2001 From: Hossein Rashidi Date: Mon, 19 Aug 2024 15:53:18 +0200 Subject: [PATCH 2/3] add postgres-pytest --- README.md | 2 +- poetry.lock | 8015 ++++++++++++++++++++++++++++++++++++++++++++++++ pyproject.toml | 1 + 3 files changed, 8017 insertions(+), 1 deletion(-) create mode 100644 poetry.lock diff --git a/README.md b/README.md index 6c6f8de..66db200 100644 --- a/README.md +++ b/README.md @@ -44,7 +44,7 @@ Once the application is running, you will see the message `Deployed successfully > **⚠️ Warning** > -> The applications require 1 largs GPUs to run. GPU should have at least 48GB of memory. +> The applications require 1 large GPUs to run. GPU should have at least 48GB of memory. > > The applications will detect the available GPU automatically but you need to make sure that `CUDA_VISIBLE_DEVICES` is set correctly. > diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..9d311e3 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,8015 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + +[[package]] +name = "aana" +version = "0.2.1" +description = "Multimodal SDK" +optional = false +python-versions = ">=3.10,<4.0" +files = [] +develop = false + +[package.dependencies] +accelerate = "^0.26.1" +alembic = "^1.12.1" +av = "==11.*" +bitsandbytes = "^0.42.0" +decord = "^0.6.0" +deepdiff = "^6.7.0" +diffusers = "^0.23.1" +fastapi = "^0.111.0" +faster-whisper = ">=1.0.1" +hf-transfer = "^0.1.6" +numpy = ">=1.17,<2" +onnxruntime = "1.16.1" +opencv-python-headless = "^4.8.1.78" +orjson = "^3.10.3" +portpicker = "^1.6.0" +pyannote-audio = "^3.1.1" +pydantic = ">=2.0" 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