Add application file

Dockerfile

@@ -5,30 +5,29 @@ RUN useradd -m -u 1000 user
 USER user
 ENV PATH="/home/user/.local/bin:$PATH"
 
-# Set the working directory to /app
-WORKDIR /app
+# Set the working directory to root (default is root, no need to set it explicitly)
+WORKDIR /
 
 # Copy the requirements.txt file
 COPY --chown=user ./requirement.txt requirement.txt
 
 # Copy the necessary libraries (if required)
 COPY --chown=user ./lib/aicloudlibs-0.1.0-py3-none-any.whl /lib/
-# You can add the rest of your .whl files as needed
+# You can add other .whl files similarly if needed
 # COPY --chown=user ./lib/better_profanity-2.0.0-py3-none-any.whl /lib/
 # COPY --chown=user ./lib/privacy-1.0.9-py3-none-any.whl /lib/
 
 # Install dependencies
 RUN pip install --no-cache-dir --upgrade -r requirement.txt
 
-# Copy the src folder into /app/src in the container
-COPY --chown=user ./src /app/src
-COPY --chown=user ./config /app/config
-COPY --chown=user ./lib /app/lib
-COPY --chown=user ./models /app/models
+# Copy the src folder directly into the root directory
+COPY --chown=user ./src /src
+COPY --chown=user ./config /config
+COPY --chown=user ./models /models
+COPY --chown=user ./lib /lib
 
-
-# Set PYTHONPATH to include /app/src so Python can find llm_explain
-ENV PYTHONPATH="/app/src:$PYTHONPATH"
+# Set PYTHONPATH to include /src so Python can find llm_explain
+ENV PYTHONPATH="/src:$PYTHONPATH"
 
 # Expose the port (default for Hugging Face is 7860)
 EXPOSE 7860