memoria-api / Dockerfile
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# Start with an official Python base image.
FROM python:3.11-slim
# Set the working directory inside the container.
WORKDIR /app
# Create a directory for the model cache and set permissions
RUN mkdir -p /app/model_cache && chmod 777 /app/model_cache
# CRITICAL FIX: Set the Hugging Face cache directory to our writable folder
ENV HF_HOME /app/model_cache
ENV SENTENCE_TRANSFORMERS_HOME /app/model_cache
# Copy the requirements file and install dependencies.
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the rest of your application code.
COPY . .
# Expose the port the application will run on.
EXPOSE 7860
# The command to run your application.
CMD ["gunicorn", "-w", "1", "--preload", "-k", "uvicorn.workers.UvicornWorker", "-b", "0.0.0.0:7860", "main:app"]