File size: 739 Bytes
cfaa883
 
d828ce4
2bd30ac
cfaa883
d828ce4
cfaa883
 
 
 
2f91434
 
d828ce4
2bd30ac
d828ce4
 
2bd30ac
cfaa883
d828ce4
cfaa883
 
 
2bd30ac
cfaa883
 
 
 
d828ce4
cfaa883
 
d828ce4
 
cfaa883
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
# Start from NVIDIA CUDA base image
FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04

# Set working directory
WORKDIR /code

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3.12 \
    python3-pip \
    git \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first to leverage Docker cache
COPY requirements.txt .

# Install Python dependencies
RUN pip3 install --no-cache-dir -r requirements.txt

# Copy the application code
COPY ./app /code/app
COPY ./utils /code/utils

# Set environment variables
ENV PYTHONPATH=/code
ENV TRANSFORMERS_CACHE=/code/app/.cache
ENV CUDA_VISIBLE_DEVICES=0

# Expose the port the app runs on
EXPOSE 8000

# Command to run the application
CMD ["python3", "-m", "app.main"]