updated Expanding examples for AOAI

l7-expanding.ipynb

@@ -11,6 +11,17 @@
     "## Setup"
    ]
   },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "281c747b",
+   "metadata": {},
+   "source": [
+    "> NOTE: the following setup code (first two code blocks of this notebook) have been modified to work with the Azure OpenAI services instead of OpenAI services\n",
+    "> - Environment variables have been changed to avoid any collisions\n",
+    "> - OpenAI's `chat-3.5-turbo` is named `chat-35-turbo` in Azure OpenAI, but the notes have remained the same to avoid confusion with the video course material "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -26,7 +37,13 @@
     "from dotenv import load_dotenv, find_dotenv\n",
     "_ = load_dotenv(find_dotenv()) # read local .env file\n",
     "\n",
-    "openai.api_key  = os.getenv('OPENAI_API_KEY')"
+    "chat_completions_config = {\n",
+    "  'api_type': 'azure',\n",
+    "  'api_base': os.getenv('AZURE_OPENAI_ENDPOINT'),\n",
+    "  'api_key': os.getenv('AZURE_OPENAI_API_KEY'),\n",
+    "  'api_version': os.getenv('AZURE_OPENAI_MODEL_CHAT_VERSION'),\n",
+    "  'engine': os.getenv('AZURE_OPENAI_MODEL_CHAT'),\n",
+    "}"
    ]
   },
   {
@@ -38,12 +55,13 @@
    },
    "outputs": [],
    "source": [
-    "def get_completion(prompt, model=\"gpt-3.5-turbo\",temperature=0): # Andrew mentioned that the prompt/ completion paradigm is preferable for this class\n",
+    "def get_completion(prompt, temperature=0, config=chat_completions_config): # Andrew mentioned that the prompt/ completion paradigm is preferable for this class\n",
     "    messages = [{\"role\": \"user\", \"content\": prompt}]\n",
+    "    \n",
+    "    config['messages']=messages\n",
+    "    config['temperature']=temperature  # this is the degree of randomness of the model's output\n",
     "    response = openai.ChatCompletion.create(\n",
-    "        model=model,\n",
-    "        messages=messages,\n",
-    "        temperature=temperature, # this is the degree of randomness of the model's output\n",
+    "        **config\n",
     "    )\n",
     "    return response.choices[0].message[\"content\"]"
    ]
@@ -203,7 +221,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,