Update Dockerfile and requirements.txt

Dockerfile

@@ -1,48 +1,27 @@
 # 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
+WORKDIR /usr/src/app
 
-# Switch to root user
+# Set user to root
 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:${PATH}" && \
-    pip install --upgrade pip && \
-    pip install -r requirements.txt
-
-# Make a port available to the world outside this container
-# The EXPOSE instruction informs Docker that the container listens on the specified network ports at runtime. Your container needs to listen to Streamlit’s (default) port 8501.
-EXPOSE 8501
+# Install Cargo (Rust's package manager)
+RUN curl https://sh.rustup.rs -sSf | sh -s -- -y
+ENV PATH="/root/.cargo/bin:${PATH}"
 
-# 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
+# Copy the current directory contents into the container at /usr/src/app
+COPY . /usr/src/app
 
-# Set the permissions for the script file
-# RUN chmod +x python 3 train_llm.py
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Change permissions of the working directory
-# RUN chmod 777 /app  # Gives all users read, write, and exec permissions in the app directory.
+# Make port 80 available to the world outside this container
+EXPOSE 80
 
-# Run the command inside your image filesystem.
-CMD ["python", "train_llm.py"]
+# Define environment variable
+ENV NAME World
 
-# Execute with:
-# docker build -t <image_name> .    
-# docker run -p 8501:8501 <image_name>
+# Run train_llm.py when the container launches
+CMD ["python", "./train_llm.py"]

Dockerfile_old

@@ -0,0 +1,48 @@
+# 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>

requirements.txt

@@ -74,7 +74,7 @@ networkx==3.2.1
 nltk==3.8.1
 numpy==1.26.2
 oauthlib==3.2.2
-opencv-python==4.8.1.78
+# opencv-python==4.8.1.78
 opencv-python-headless==4.8.1.78
 optuna==3.3.0
 orjson==3.9.10