Add ignore for .env environment files

.gitignore

@@ -1,4 +1,5 @@
 .amlignore
+.env
 .zip
 .chroma/
 .ipynb_checkpoints/

01-Load-Data-ACogSearch.ipynb

@@ -64,7 +64,7 @@
     "import json\n",
     "import requests\n",
     "from dotenv import load_dotenv\n",
-    "load_dotenv(\"credentials.env\")\n",
+    "load_dotenv(\".env\", verbose=True, override=True)\n",
     "\n",
     "# Name of the container in your Blob Storage Datasource ( in credentials.env)\n",
     "BLOB_CONTAINER_NAME = \"arxivcs\""
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -103,7 +103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -332,7 +332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -477,9 +477,11 @@
     "}\n",
     "\n",
     "r = requests.put(os.environ['AZURE_SEARCH_ENDPOINT'] + \"/skillsets/\" + skillset_name,\n",
-    "                 data=json.dumps(skillset_payload), headers=headers, params=params)\n",
+    "                 json=skillset_payload, headers=headers, params=params)\n",
     "print(r.status_code)\n",
-    "print(r.ok)"
+    "print(r.ok)\n",
+    "if not r.ok:\n",
+    "    print(r.text)"
    ]
   },
   {
@@ -579,7 +581,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {
     "tags": []
    },
@@ -589,8 +591,8 @@
      "output_type": "stream",
      "text": [
       "200\n",
-      "Status: success\n",
-      "Items Processed: 0\n",
+      "Status: transientFailure\n",
+      "Items Processed: 1169\n",
       "True\n"
      ]
     }
@@ -646,9 +648,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.10 - SDK v2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python310-sdkv2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -660,12 +662,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.11"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "9ff083f0c83558f9261023d47a77b9b3eb892c62cdbe066d046abcad1a5edb5c"
-   }
+   "version": "3.12.1"
   }
  },
  "nbformat": 4,

README.md

@@ -112,7 +112,7 @@ Note: (Pre-requisite) You need to have an Azure OpenAI service already created
     ```
     You might get some pip dependancies errors, but that is ok, the libraries were installed correctly regardless of the error.
 
-8. Edit the file `credentials.env` with your own values from the services created in step 4.
+8. Copy the file `credentials.env` to a new `.env` file and update the latter with your own values from the services created in step 4.
     - For BLOB_SAS_TOKEN and BLOB_CONNECTION_STRING. Go to Storage Account>Security + networking>Shared access signature>Generate SAS
 9. **Run the Notebooks in order**. They build up on top of each other.