adding changes to chapter 9

.env

@@ -0,0 +1,4 @@
+AZURE_OPENAI_ENDPOINT='https://genai-pr.openai.azure.com/'
+AZURE_OPENAI_DEPLOYMENT='gpt-35-turbo' # deployment name you chose when you deployed the model
+AZURE_OPENAI_KEY='ec6bbbe26cbd4f949bda5361731bb7f6'
+AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT='text-embedding-ada-002'

.env.copy

@@ -1,3 +1,4 @@
 AZURE_OPENAI_ENDPOINT='<add your endpoint here>'
 AZURE_OPENAI_DEPLOYMENT='<add your deployment here>' # deployment name you chose when you deployed the model
 AZURE_OPENAI_KEY='<add your key here>'
+AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT='<add your deployment here>' # deployment name you chose when you deployed the embeddings model

08-building-search-applications/solution.ipynb

@@ -4,12 +4,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In order to run the following noteboooks, if you haven't done yet, you need to deploy a model that uses `text-embedding-ada-002` as base model and set his deployment name inside .env file as `AZURE_OPENAI_EMBEDDINGS_ENDPOINT`"
+    "In order to run the following noteboooks, if you haven't done yet, you need to deploy a model that uses `text-embedding-ada-002` as base model and set the deployment name inside .env file as `AZURE_OPENAI_EMBEDDINGS_ENDPOINT`"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,17 +20,19 @@
     "from dotenv import load_dotenv\n",
     "\n",
     "from sklearn.metrics.pairwise import cosine_similarity\n",
+    "\n",
+    "# Load environment variables from .env file in the root directory\n",
     "load_dotenv()\n",
     "\n",
     "client = AzureOpenAI(\n",
     "  api_key=os.environ['AZURE_OPENAI_KEY'],  # this is also the default, it can be omitted\n",
     "  api_version = \"2023-05-15\"\n",
-    "  )\n",
+    ")\n",
     "\n",
     "model = os.environ['AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT']\n",
     "\n",
     "SIMILARITIES_RESULTS_THRESHOLD = 0.75\n",
-    "DATASET_NAME = \"embedding_index_3m.json\""
+    "DATASET_NAME = \"embedding_index_3m.json\"\n"
    ]
   },
   {
@@ -42,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -107,7 +109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -151,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -188,7 +190,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,

09-building-image-applications/app.py

@@ -1,4 +1,4 @@
-import openai
+from openai import AzureOpenAI
 import os
 import requests
 from PIL import Image
@@ -7,18 +7,21 @@
 # import dotenv
 dotenv.load_dotenv()
 
-# Get endpoint and key from environment variables
-openai.api_base = os.environ['AZURE_OPENAI_ENDPOINT']
-openai.api_key = os.environ['AZURE_OPENAI_KEY']     
+
 
 # Assign the API version (DALL-E is currently supported for the 2023-06-01-preview API version only)
-openai.api_version = '2023-06-01-preview'
-openai.api_type = 'azure'
+client = AzureOpenAI(
+  api_key=os.environ['AZURE_OPENAI_KEY'],  # this is also the default, it can be omitted
+  api_version = "2023-05-15",
+  azure_endpoint=os.environ['AZURE_OPENAI_ENDPOINT'] 
+  )
+
+model = os.environ['AZURE_OPENAI_DEPLOYMENT']
 
 
 try:
     # Create an image by using the image generation API
-    generation_response = openai.Image.create(
+    generation_response = client.Image.create(
         prompt='Bunny on horse, holding a lollipop, on a foggy meadow where it grows daffodils',    # Enter your prompt text here
         size='1024x1024',
         n=2,
@@ -45,12 +48,12 @@
     image.show()
 
 # catch exceptions
-except openai.error.InvalidRequestError as err:
+except client.error.InvalidRequestError as err:
     print(err)
 
 # ---creating variation below---
 
-response = openai.Image.create_variation(
+response = client.Image.create_variation(
   image=open(image_path, "rb"),
   n=1,
   size="1024x1024"

09-building-image-applications/notebook-azureopenai.ipynb

@@ -328,7 +328,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.11"
+   "version": "3.9.6"
   },
   "orig_nbformat": 4
  },