Update README.md

README.md

@@ -22,6 +22,8 @@ conda create -n custom python=3.10 -y
 conda activate custom
 ```
 
+Then you can install packages with pip, conda, etc.
+
 
 2. Export the environment with `conda-pack` to a `.tar.gz` file.  
    Run `docker-compose up`. This will pull the base competition image, copy the files into the container and create a new environment save it.
@@ -40,13 +42,30 @@ conda-pack -n custom -o $OUTPUT
 ```
 
 3. Upload the enviroment. Since the environment file is large. It's better to upload it seperately using fast HF_TRANSFER.
-   Make sure to install `pip install huggingface_hub[hf_transder]`.
+   Make sure to install `pip install huggingface_hub[hf_transfer]`.
 
 ```bash
 bash upload_env_file
 ```
 
-Make sure to change the path to your env file in the script.
+Make sure to change the path to your env file in the script. This is what the script does:
+
+```bash
+ENV_FILE=/disk1/kirill/custom-env/custom.tar.gz
+HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli upload safe-challenge/safe-example-submission-custom-env $ENV_FILE custom.tar.gz
+```
 
 
-5. During runtime, `script.py` unpack the environment and run your model in your custome environment 
+5. During runtime, `script.py` unpacks the environment to run your model in your custom environment. Rename your actual script to `_script.py`.
+ `script.py` just calls `bash run.sh` to do all the steps:
+
+```bash
+echo "uncompressing environment"
+mkdir -p custom
+tar -xzf custom.tar.gz -C custom
+source custom/bin/activate
+echo "unpacking"
+conda-unpack
+echo "running"
+python _script.py
+```