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feat: add connection templates first batch #2393

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feat: add openai template connection
FlorentLvr committed Nov 20, 2023
commit 210dce8bf3a3ffe658b2838f04ca25c832f7b6f0
273 changes: 273 additions & 0 deletions OpenAI/OpenAI_Setup_connection.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "be5dd6e3-f6cd-4c02-a6aa-722079e94fdd",
"metadata": {
"execution": {
"iopub.execute_input": "2021-02-23T14:22:16.610471Z",
"iopub.status.busy": "2021-02-23T14:22:16.610129Z",
"iopub.status.idle": "2021-02-23T14:22:16.627784Z",
"shell.execute_reply": "2021-02-23T14:22:16.626866Z",
"shell.execute_reply.started": "2021-02-23T14:22:16.610384Z"
},
"papermill": {},
"tags": []
},
"source": [
"<img width=\"8%\" alt=\"OpenAI.png\" src=\"https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/OpenAI.png\" style=\"border-radius: 15%\">"
]
},
{
"cell_type": "markdown",
"id": "a5b2c509-2c29-49e8-af91-4f3f1e386da3",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"# OpenAI - Setup connection"
]
},
{
"cell_type": "markdown",
"id": "d77fe283-4edd-42d3-a909-8e207d4b842f",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Tags:** #openai #naas #secret #connection #setup"
]
},
{
"cell_type": "markdown",
"id": "b90f2d91-c886-4e36-8265-b09d06bb1c7f",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Author:** [Florent Ravenel](https://www.linkedin.com/in/florent-ravenel)"
]
},
{
"cell_type": "markdown",
"id": "6bbf7807-dda4-4b8a-b016-fe258a0fa33f",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Last update:** 2023-11-20 (Created: 2023-11-20)"
]
},
{
"cell_type": "markdown",
"id": "214749fe-7f0b-4755-b7ea-1d200c234cc6",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Description:** This notebook help you setup your connection with OpenAI and add required credentials to Naas secret. You will be able to establish a seamless connection to OpenAI without the need to repeatedly redefine your credentials in variables by using `naas.secret.get()` in your notebook."
]
},
{
"cell_type": "markdown",
"id": "a1329bea-ad80-4981-874c-8776b11f89a8",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**References:**\n",
"- [Where do I find my API Key?](https://help.openai.com/en/articles/4936850-where-do-i-find-my-api-key)\n",
"- [Naas Secret Documentation](https://site.naas.ai/docs/developers/jobs/secret)"
]
},
{
"cell_type": "markdown",
"id": "cff349c8-2816-4ae4-9229-027c068eeb51",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"## Input"
]
},
{
"cell_type": "markdown",
"id": "80266a9e-fe54-4f3e-aeb2-01483bbc53f9",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"### Import libraries"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cc038b10-2679-42bc-909e-09a298339df4",
"metadata": {
"papermill": {},
"tags": []
},
"outputs": [],
"source": [
"import naas"
]
},
{
"cell_type": "markdown",
"id": "30127040-e487-4115-8317-5084823b3a6f",
"metadata": {
"papermill": {},
"tags": [
"variables"
]
},
"source": [
"### Setup variables\n",
"**Mandatory**\n",
"- `openai_api_key`: OpenAI API Key. This value will be stored under the secret 'OPENAI_API_KEY'.\n",
"\n",
"**Optional**\n",
"- `secrets`: Dict to add secrets to naas"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8d86b8fb-2576-426d-a305-50043c24c23e",
"metadata": {
"papermill": {},
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"# Mandatory\n",
"openai_api_key = None\n",
"\n",
"# Optional\n",
"secrets = {\n",
" \"OPENAI_API_KEY\": openai_api_key,\n",
"}"
]
},
{
"cell_type": "markdown",
"id": "1b0ae044-cac2-479f-b1fc-a3318696adf5",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"## Model"
]
},
{
"cell_type": "markdown",
"id": "3aadae7f-fbe5-4f97-a6a9-6efe9dd1a42f",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"### Add secret"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e235794a-6907-4f0e-ab2b-5aa6668a8d3b",
"metadata": {
"papermill": {},
"tags": []
},
"outputs": [],
"source": [
"for secret in secrets:\n",
" new_value = secrets.get(secret)\n",
" if new_value:\n",
" naas.secret.add(secret, secrets.get(secret))"
]
},
{
"cell_type": "markdown",
"id": "7c97931b-4ce8-46f9-a70c-45393c5669ee",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"## Output"
]
},
{
"cell_type": "markdown",
"id": "760ec150-d79a-4208-adfe-d0336d443dc8",
"metadata": {},
"source": [
"### Display result"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4005faa2-a781-4805-9c08-74951e900d12",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df = naas.secret.list()\n",
"df = df[df[\"name\"].isin(secrets.keys())]\n",
"df"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.9.6"
},
"naas": {
"notebook_id": "cc22b3eb0484bf2a314634076226daee8a2a74e35de569fa2fbd40dae558222c",
"notebook_path": "GitHub/GitHub_Connect_from_Naas_Chat.ipynb"
},
"papermill": {
"default_parameters": {},
"environment_variables": {},
"parameters": {},
"version": "2.4.0"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}