# Use an official Python runtime as a base image
FROM python:3.10

# Set the working directory in the container
WORKDIR /app

# Install system dependencies
RUN apt-get update && \
    apt-get install -y ffmpeg libsndfile1 && \
    rm -rf /var/lib/apt/lists/*

# Copy the requirements file and install Python dependencies
COPY requirements.txt /app/
RUN pip install --no-cache-dir -r requirements.txt

# Clone the necessary external repositories
RUN git clone https://github.com/reazon-research/ReazonSpeech /app/ReazonSpeech

# Install local packages from the cloned repository
RUN pip install --no-warn-conflicts /app/ReazonSpeech/pkg/nemo-asr
RUN pip install /app/ReazonSpeech/pkg/nemo-asr

# Create directories for caches and set permissions
RUN mkdir -p /app/cache/huggingface /app/cache/modelscope /app/cache/matplotlib /app/cache/fontconfig /app/cache/lhotse && \
    chmod -R 777 /app/cache

# Set environment variables for cache directories and application configuration
ENV TRANSFORMERS_CACHE=/app/cache/huggingface
ENV HF_HOME=/app/cache/huggingface
ENV MODELSCOPE_CACHE=/app/cache/modelscope
ENV MPLCONFIGDIR=/app/cache/matplotlib
ENV FONTCONFIG_PATH=/app/cache/fontconfig
ENV LHOTSE_CACHE=/app/cache/lhotse
ENV PYTHONUNBUFFERED=1

# Copy the rest of the application source code
COPY . /app

# Expose the port the app runs on
EXPOSE 7860

# Define environment variables for the Uvicorn command if necessary
ENV MODULE_NAME="app.main"
ENV VARIABLE_NAME="app"
ENV PORT=7860

# Run the app using Uvicorn
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]