Dockerfile

# Use an official Python image
FROM python:3.10-slim

# Set standard Python environment variables for containerized apps
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set the working directory
WORKDIR /api

# --- Cache Configuration ---
# Create a single, unified directory for all model caches.
# Make it fully writable to prevent "Permission Denied" errors when downloading models.
RUN mkdir -p /api/cache && chmod -R 777 /api/cache

# Tell all relevant libraries (Hugging Face, SentenceTransformers, PyTorch)
# to use this new writable directory. HF_HOME is the most important one.
ENV HF_HOME=/api/cache
ENV SENTENCE_TRANSFORMERS_HOME=/api/cache
ENV TORCH_HOME=/api/cache
# --- End Cache Configuration ---

# Install dependencies
# Copy only the requirements file first to leverage Docker layer caching
COPY requirements.txt .
RUN pip install --upgrade pip
RUN pip install -r requirements.txt

# Copy the rest of the application code into the container
COPY . .

# Expose the port the app runs on
EXPOSE 7860

# Command to run the application
CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "7860"]