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File size: 1,081 Bytes
6b76e14 b91b7e7 d52fc1f 6a24f7c b91b7e7 6a24f7c b91b7e7 6a24f7c b91b7e7 6a24f7c b91b7e7 6a24f7c b91b7e7 6a24f7c b91b7e7 6a24f7c b91b7e7 6a24f7c 74f8372 b91b7e7 6a24f7c 74f8372 | 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 | FROM tiangolo/uvicorn-gunicorn:python3.11-slim
# Set the working directory to /app
WORKDIR /app
# Copy the requirements file to install dependencies
COPY requirements.txt .
# Install necessary dependencies (FastAPI, ONNX Runtime, etc.)
RUN pip install --no-cache-dir -r requirements.txt
# Ensure wget and required dependencies are available
RUN apt-get update && apt-get install -y wget && apt-get clean
# Download the ONNX model file and save it in the desired path
RUN mkdir -p /app/services/onnx_clip/data && \
wget -O /app/services/onnx_clip/data/clip_image_model_vitb32.onnx \
"https://storage.cloud.google.com/embedding_model_1/clip_image_model_vitb32.onnx"
# Copy the FastAPI app code into the container
COPY . .
# Set the model path as an environment variable (for reference in your code)
ENV MODEL_PATH="/app/services/onnx_clip/data/clip_image_model_vitb32.onnx"
# Expose port 8000 to access the FastAPI app
EXPOSE 7860
# Run the FastAPI app using Uvicorn
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
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