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@@ -1,85 +0,0 @@
-# Use Nvidia CUDA runtime as the base image
-FROM nvidia/cuda:12.6.1-cudnn-runtime-ubuntu24.04
-
-# Set build arguments for repository configuration
-ARG REPO_URL=https://github.com/rmusser01/tldw.git
-ARG BRANCH=main
-ARG GPU_SUPPORT=cpu
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    ffmpeg \
-    libsqlite3-dev \
-    build-essential \
-    git \
-    python3 \
-    python-is-python3 \
-    python3-pyaudio \
-    portaudio19-dev \
-    python3-pip \
-    python3-venv \
-    libpq-dev \
-    python3-dev \
-    && rm -rf /var/lib/apt/lists/*
-
-# Create a new user named "user9" with user ID 1009
-RUN useradd -m -u 1009 user9
-
-# Set environment variables for the user's home directory and PATH
-ENV HOME=/home/user9 \
-    PATH=/home/user9/.local/bin:$PATH
-
-# Create the app directory and set it as the working directory
-RUN mkdir -p /home/user9/app
-WORKDIR /home/user9/app
-
-# Clone the repository into the working directory as root
-RUN git clone -b ${BRANCH} ${REPO_URL} .
-
-# Set correct ownership for the app directory and its contents
-RUN chown -R user9:user9 /home/user9/app
-
-# Set appropriate permissions for the app directory and its contents
-RUN chmod -R u+rwX,go+rX,go-w /home/user9/app
-
-# Ensure summarize.py is readable and executable
-RUN chmod 755 /home/user9/app/summarize.py
-
-# Switch to the "user9" user
-USER user9
-
-# Create and activate a virtual environment
-RUN python3 -m venv venv
-ENV PATH="/home/user9/app/venv/bin:$PATH"
-
-# Upgrade pip and install wheel as the non-root user
-RUN pip install --no-cache-dir --upgrade pip wheel
-
-# Install CUDA libraries
-RUN pip install --no-cache-dir nvidia-cublas-cu12 nvidia-cudnn-cu12
-
-# Install PyTorch based on GPU support
-RUN if [ "$GPU_SUPPORT" = "cuda" ]; then \
-        pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu123; \
-    elif [ "$GPU_SUPPORT" = "amd" ]; then \
-        pip install torch-directml; \
-    else \
-        pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cpu; \
-    fi
-
-# Install other Python dependencies
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Update config.txt for CPU if needed
-RUN if [ "$GPU_SUPPORT" = "cpu" ]; then \
-        sed -i 's/cuda/cpu/' ./Config_Files/config.txt; \
-    fi
-
-# Expose port 7860 to the outside world
-EXPOSE 7860
-
-# Set environment variable for Gradio to listen on all interfaces
-ENV GRADIO_SERVER_NAME="0.0.0.0"
-
-# Define the default command to run the application
-CMD ["python3", "summarize.py", "-gui"]