Added local dev machine instructions

SETUP.md

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+# Running CS-Tutor Locally
+
+While cs-tutor is hosted on a Huggingface space, it's easy to run locally on your development machine.
+
+## Pre-requisites
+
+You'll need Python installed, preferably 3.10 or higher. Run `python --version` to check. On systems where you have both Python 2 and 3 installed, you may need to run `python3 --version`.
+
+## Clone the repo
+
+Create a new directory and git clone the repo. From the command line, use `git clone https://huggingface.co/spaces/simonguest/cs-tutor`
+
+## Use pip to install the required Python libraries
+
+From within the cloned cs-tutor directory, run `pip install -r requirements.txt'` (Note: Depending on your system, you may need to run `pip3` instead).
+
+## Install Gradio
+
+Run `pip install gradio` to install the main Gradio library.
+
+## Run the application
+
+To run the application, use the following command:
+
+`OPENAI_API_KEY=[key] gradio app.py`
+
+Replace key with an OpenAI key from your organization. If everything is successful, you should see this message:
+
+`Running on local URL:  http://127.0.0.1:7861`
+
+Open a Web browser to this URL to access the application.
+
+## Adding more levels
+
+To add a new level, create a new level number folder in the levels folder. Within this new level folder, create three files:
+
+- **metadata.json**: a JSON file pointing to the instructions and starter code. See the other levels for the exact format.
+- **instructions.md**: a markdown file with instructions for the AI tutor
+- **sample_code.py**: a Python file with the starter code for the student
+
+To run the level, browser to `http://127.0.0.1:7861?level=[level]` - replace [level] with the title of the level folder that you created (e.g., http://127.0.0.1:7861?level=4)