diff --git a/Dockerfile b/Dockerfile.local
similarity index 83%
rename from Dockerfile
rename to Dockerfile.local
index c5589f2..023722c 100644
--- a/Dockerfile
+++ b/Dockerfile.local
@@ -14,12 +14,10 @@ RUN useradd jovyan -d /home/jovyan -m -p 0049e6b11c44d4b00006eb820983a7a76c84a12
mkdir -p /home/jovyan/work
COPY ./jupyter_server_config.py /home/jovyan/.jupyter/jupyter_server_config.py
-
-COPY ./L2 /home/jovyan/work/L2
-COPY ./L3 /home/jovyan/work/L3
+COPY ./L1 /home/jovyan/work/L1
RUN chown -R jovyan:jovyan -R /home/jovyan
RUN chown -R jovyan:jovyan -R /home/jovyan/work
USER jovyan
-CMD ["bash", "-c", "source /etc/bash.bashrc && jupyter notebook --no-browser"]
+CMD ["jupyter", "lab"]
diff --git a/L1/.ipynb_checkpoints/test-checkpoint.ipynb b/L1/.ipynb_checkpoints/test-checkpoint.ipynb
new file mode 100644
index 0000000..49cc25c
--- /dev/null
+++ b/L1/.ipynb_checkpoints/test-checkpoint.ipynb
@@ -0,0 +1,49 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c34b3cbd-4745-4f0b-a18b-18d9e06d30fa",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from openai import OpenAI\n",
+ "client = OpenAI()\n",
+ "response = client.chat.completions.create(\n",
+ " model=\"gpt-4o-mini\",\n",
+ " messages=[{\"role\": \"user\", \"content\": \"What is Python?\"}]\n",
+ ")\n",
+ "print(response.choices[0].message.content)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0a1d4923-9b0b-477d-b2cb-5b649b7a8184",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/L1/test.ipynb b/L1/test.ipynb
new file mode 100644
index 0000000..49cc25c
--- /dev/null
+++ b/L1/test.ipynb
@@ -0,0 +1,49 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c34b3cbd-4745-4f0b-a18b-18d9e06d30fa",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from openai import OpenAI\n",
+ "client = OpenAI()\n",
+ "response = client.chat.completions.create(\n",
+ " model=\"gpt-4o-mini\",\n",
+ " messages=[{\"role\": \"user\", \"content\": \"What is Python?\"}]\n",
+ ")\n",
+ "print(response.choices[0].message.content)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0a1d4923-9b0b-477d-b2cb-5b649b7a8184",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/L2/L_2.ipynb b/L2/L_2.ipynb
deleted file mode 100644
index 2d5215d..0000000
--- a/L2/L_2.ipynb
+++ /dev/null
@@ -1,445 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "id": "07384ca6-4098-4066-92c2-fca2f25f7e0f",
- "metadata": {},
- "source": [
- "# L2: How To Use Structured Outputs"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "75138467-2f8e-4743-9875-ff7c7bea318c",
- "metadata": {},
- "source": [
- " ⏳ Note (Kernel Starting): This notebook takes about 30 seconds to be ready to use. You may start and watch the video while you wait.
"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "62dba96a-9d73-4f3d-b5d7-7b5eb4f2c610",
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warning control\n",
- "import warnings\n",
- "warnings.filterwarnings('ignore')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "1c006097-da90-491e-96ee-0121a6fc6bfb",
- "metadata": {},
- "outputs": [],
- "source": [
- "import os\n",
- "from helper import get_openai_api_key\n",
- "KEY = get_openai_api_key()"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "293583cb-9fa7-447b-8a4b-0c40a2bcaca1",
- "metadata": {},
- "source": [
- "\n",
- "
💻 Access requirements.txt and helper.py files: 1) click on the \"File\" option on the top menu of the notebook and then 2) click on \"Open\".\n",
- "\n",
- "
⬇ Download Notebooks: 1) click on the \"File\" option on the top menu of the notebook and then 2) click on \"Download as\" and select \"Notebook (.ipynb)\".
\n",
- "\n",
- "
📒 For more help, please see the \"Appendix – Tips, Help, and Download\" Lesson.
\n",
- "
🚨\n",
- " Different Run Results: The output generated by AI chat models can vary with each execution due to their dynamic, probabilistic nature. Don't be surprised if your results differ from those shown in the video.
"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "fb34ee2d",
- "metadata": {},
- "source": [
- "\n",
- "
💻 To Access the requirements.txt file or the papers folder: 1) click on the \"File\" option on the top menu of the notebook and then 2) click on \"Open\" and finally 3) click on \"L3\".\n",
- "
\n",
- "\n",
- "\n",
- "
⬇ Download Notebooks: 1) click on the \"File\" option on the top menu of the notebook and then 2) click on \"Download as\" and select \"Notebook (.ipynb)\".
\n",
- "\n",
- "