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#1	{
#2	"cells": [
#3	{
#4	"cell_type": "markdown",
#5	"metadata": {
#6	"id": "b02n_zJ_hl3d"
#7	},
#8	"source": [
#9	"## Cookbook for using OpenAI with Embedchain"
#10	]
#11	},
#12	{
#13	"cell_type": "markdown",
#14	"metadata": {
#15	"id": "gyJ6ui2vhtMY"
#16	},
#17	"source": [
#18	"### Step-1: Install embedchain package"
#19	]
#20	},
#21	{
#22	"cell_type": "code",
#23	"execution_count": null,
#24	"metadata": {
#25	"colab": {
#26	"base_uri": "https://localhost:8080/",
#27	"height": 1000
#28	},
#29	"id": "-NbXjAdlh0vJ",
#30	"outputId": "6c630676-c7fc-4054-dc94-c613de58a037"
#31	},
#32	"outputs": [],
#33	"source": [
#34	"!pip install embedchain"
#35	]
#36	},
#37	{
#38	"cell_type": "markdown",
#39	"metadata": {
#40	"id": "nGnpSYAAh2bQ"
#41	},
#42	"source": [
#43	"### Step-2: Set OpenAI environment variables\n",
#44	"\n",
#45	"You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys)."
#46	]
#47	},
#48	{
#49	"cell_type": "code",
#50	"execution_count": null,
#51	"metadata": {
#52	"id": "0fBdQ9GAiRvK"
#53	},
#54	"outputs": [],
#55	"source": [
#56	"import os\n",
#57	"from embedchain import App\n",
#58	"\n",
#59	"os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\""
#60	]
#61	},
#62	{
#63	"cell_type": "markdown",
#64	"metadata": {
#65	"id": "PGt6uPLIi1CS"
#66	},
#67	"source": [
#68	"### Step-3 Create embedchain app and define your config"
#69	]
#70	},
#71	{
#72	"cell_type": "code",
#73	"execution_count": null,
#74	"metadata": {
#75	"id": "Amzxk3m-i3tD"
#76	},
#77	"outputs": [],
#78	"source": [
#79	"app = App.from_config(config={\n",
#80	" \"llm\": {\n",
#81	" \"provider\": \"openai\",\n",
#82	" \"config\": {\n",
#83	" \"model\": \"gpt-4o-mini\",\n",
#84	" \"temperature\": 0.5,\n",
#85	" \"max_tokens\": 1000,\n",
#86	" \"top_p\": 1,\n",
#87	" \"stream\": False\n",
#88	" }\n",
#89	" },\n",
#90	" \"embedder\": {\n",
#91	" \"provider\": \"openai\",\n",
#92	" \"config\": {\n",
#93	" \"model\": \"text-embedding-ada-002\"\n",
#94	" }\n",
#95	" }\n",
#96	"})"
#97	]
#98	},
#99	{
#100	"cell_type": "markdown",
#101	"metadata": {
#102	"id": "XNXv4yZwi7ef"
#103	},
#104	"source": [
#105	"### Step-4: Add data sources to your app"
#106	]
#107	},
#108	{
#109	"cell_type": "code",
#110	"execution_count": null,
#111	"metadata": {
#112	"id": "Sn_0rx9QjIY9"
#113	},
#114	"outputs": [],
#115	"source": [
#116	"app.add(\"https://www.forbes.com/profile/elon-musk\")"
#117	]
#118	},
#119	{
#120	"cell_type": "markdown",
#121	"metadata": {
#122	"id": "_7W6fDeAjMAP"
#123	},
#124	"source": [
#125	"### Step-5: All set. Now start asking questions related to your data"
#126	]
#127	},
#128	{
#129	"cell_type": "code",
#130	"execution_count": null,
#131	"metadata": {
#132	"id": "cvIK7dWRjN_f"
#133	},
#134	"outputs": [],
#135	"source": [
#136	"while(True):\n",
#137	" question = input(\"Enter question: \")\n",
#138	" if question in ['q', 'exit', 'quit']:\n",
#139	" break\n",
#140	" answer = app.query(question)\n",
#141	" print(answer)"
#142	]
#143	}
#144	],
#145	"metadata": {
#146	"colab": {
#147	"provenance": []
#148	},
#149	"kernelspec": {
#150	"display_name": "Python 3",
#151	"name": "python3"
#152	},
#153	"language_info": {
#154	"name": "python",
#155	"version": "3.11.6"
#156	}
#157	},
#158	"nbformat": 4,
#159	"nbformat_minor": 0
#160	}
#161

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