debugged dockerfile

Dockerfile

@@ -1,48 +1,3 @@
-# 1. Base Image: Start with Miniconda as your project requires it.
-FROM continuumio/miniconda3
-
-# 2. Create Conda Environment:
-# First, copy only the environment file and create the environment.
-# This is done as root and caches this layer, so it only re-runs if environment.yaml changes.
-COPY environment.yaml /tmp/environment.yaml
-RUN conda env create -f /tmp/environment.yaml
-
-# 3. Create a Non-Root User:
-# As shown in your example, we create a dedicated, non-root user to run the application.
-# This is a critical security and permissions best practice.
-RUN useradd -m -u 1000 user
-
-# 4. Copy Application Code:
-# Copy the rest of your application code into the user's home directory.
-# The `--chown=user:user` flag sets the correct ownership at the same time,
-# which is more efficient and cleaner than a separate `chown` command.
-COPY --chown=user:user . /home/user/app
-
-# 5. Switch to Non-Root User:
-# From this point on, all commands will be run as 'user'.
-USER user
-
-# 6. Set Working Directory:
-# Set the working directory to where the code was copied.
-WORKDIR /home/user/app
-
-# 7. Expose Port:
-# Expose the port your Gradio app will run on.
-EXPOSE 7860
-
-# 8. Run the Application:
-# Use the `conda run` command to execute your app within the 'tirex' environment.
-# Because we are now running as 'user', any libraries that need to write to a cache
-# (like Hugging Face, Matplotlib, or PyTorch) will do so inside `/home/user/.cache`,
-# which is writable by 'user', completely solving all previous permission errors.
-CMD ["conda", "run", "--no-capture-output", "-n", "tirex", "python", "app.py"]
-
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 # 1. Base Image: Start with Miniconda as your project requires it.
 FROM continuumio/miniconda3