feat: Google Gemini-Social media post

Google Gemini/Google_Gemini_Setup_connection.ipynb

@@ -0,0 +1,279 @@
+{
+ "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": [
+    "# Google Gemini - Setup connection\n",
+    "<a href=\"https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/OpenAI/OpenAI_Setup_connection.ipynb\" target=\"_parent\"><img src=\"https://naasai-public.s3.eu-west-3.amazonaws.com/Open_in_Naas_Lab.svg\"/></a><br><br><a href=\"https://bit.ly/3JyWIk6\">Give Feedback</a> | <a href=\"https://github.com/jupyter-naas/awesome-notebooks/issues/new?assignees=&labels=bug&template=bug_report.md&title=OpenAI+-+Setup+connection:+Error+short+description\">Bug report</a>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d77fe283-4edd-42d3-a909-8e207d4b842f",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Tags:** #googlegemini #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:** 2024-02-01 (Created: 2024-02-01)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "214749fe-7f0b-4755-b7ea-1d200c234cc6",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Description:** This notebook help you setup your connection with Google Gemini and add required credentials to Naas secret. You will be able to establish a seamless connection to Google Gemini 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",
+    "- [Google AI Dev](https://ai.google.dev)\n",
+    "- [Gemini Python Docs](https://ai.google.dev/tutorials/python_quickstart)\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",
+    "- `api_key`: Google Gemini API Key. This value will be stored under the secret 'GOOGLE_GEMINI_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",
+    "api_key = None\n",
+    "\n",
+    "# Optional\n",
+    "secrets = {\n",
+    "    \"GOOGLE_GEMINI_API_KEY\": 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": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Display result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4005faa2-a781-4805-9c08-74951e900d12",
+   "metadata": {
+    "papermill": {},
+    "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": "3a9b0b5281032399d79196d4dc442bbaa86480c0f1a67a059f517daec95f977a",
+   "notebook_path": "OpenAI/OpenAI_Setup_connection.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
+}