install_args.txt -> requirements.txt

README.md

@@ -6,7 +6,7 @@ Some recommendations are as follows:
 - Installing dependencies should be done in pyproject.toml, including git dependencies
 - Compiled models should be included directly in the repository(rather than compiling during loading), loading time matters far more than file sizes
 - Avoid changing `src/main.py`, as that includes mostly protocol logic. Most changes should be in `models` and `src/pipeline.py`
-- Change `install_args.txt` to add `pip install` arguments to be used when installing the package
+- Change `requirements.txt` to add extra arguments to be used when installing the package
 
 For testing, you need a docker container with pytorch and ubuntu 22.04,
-you can download your listed dependencies with `pip install $(cat install_args.txt) -e .`, and then running `start_inference`
+you can download your listed dependencies with `pip install -r requirements.txt -e .`, and then running `start_inference`

install_args.txt

@@ -1 +0,0 @@
-

requirements.txt

@@ -0,0 +1 @@
+# Specify any extra options here, like --find-links, --pre, etc. Avoid specifying dependencies here and specify them in pyproject.toml instead