Delete Dockerfile_old

Dockerfile_old

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-# Use an official Python runtime as a parent image
-FROM python:3.11.1
-
-# Set up user and paths
-RUN useradd -m -u 1000 user
-USER user
-ENV HOME=/home/user \
-	PATH=/home/user/.local/bin:$PATH
-
-# WORKDIR $HOME/app
-# COPY --chown=user . $HOME/app
-
-# Set the working directory in the container
-# WORKDIR /app
-WORKDIR $HOME/app
-
-# Copy the current directory contents into the container at /usr/src/app
-# COPY . .
-COPY --chown=user . $HOME/app
-
-# Switch to root user
-USER root
-
-# Install Rust and Cargo, Reqirements, and Python dependencies
-RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y && \
-    export PATH="/root/.cargo/bin:${PATH}" && \
-    pip install --upgrade pip && \
-    pip install -r requirements.txt
-
-# Make a port available to the world outside this container
-# The EXPOSE instruction informs Docker that the container listens on the specified network ports at runtime. Your container needs to listen to Streamlit’s (default) port 8501.
-EXPOSE 8501
-
-# The HEALTHCHECK instruction tells Docker how to test a container to check that it is still working. Your container needs to listen to Streamlit’s (default) port 8501:
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
-
-# Set the permissions for the script file
-# RUN chmod +x python 3 train_llm.py
-
-# Change permissions of the working directory
-# RUN chmod 777 /app  # Gives all users read, write, and exec permissions in the app directory.
-
-# Run the command inside your image filesystem.
-CMD ["python", "train_llm.py"]
-
-# Execute with:
-# docker build -t <image_name> .    
-# docker run -p 8501:8501 <image_name>