Added code for finding top tech products

week1/community-contributions/Top Tech products.ipynb

@@ -0,0 +1,181 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bbd8585e-0a28-4fd9-80b5-690569f93e16",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#This notebook will help you to get top tech products with by providing category and subcategory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df039118-f462-4a8b-949e-53d3a726e292",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imports\n",
+    "\n",
+    "import os\n",
+    "import requests\n",
+    "from dotenv import load_dotenv\n",
+    "from bs4 import BeautifulSoup\n",
+    "from IPython.display import Markdown, display\n",
+    "from openai import OpenAI\n",
+    "aa"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e2ffd2e5-d061-446c-891e-15a6d1958ab6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load environment variables in a file called .env\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "api_key = os.getenv('OPENAI_API_KEY')\n",
+    "\n",
+    "# Check the key\n",
+    "\n",
+    "if not api_key:\n",
+    "    print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n",
+    "elif not api_key.startswith(\"sk-proj-\"):\n",
+    "    print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n",
+    "elif api_key.strip() != api_key:\n",
+    "    print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n",
+    "else:\n",
+    "    print(\"API key found and looks good so far!\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92e26007-521f-4ea2-9df9-edd77dd7e183",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "openai = OpenAI()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "27d21593-8feb-42e4-bbc0-2e949b51137d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def tech_product(category_subcategory_budget):\n",
+    "    parts = category_subcategory_budget.split('_')\n",
+    "    return f\"{parts[0]}-{parts[1]}-{parts[2]}\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dd978d25-5b84-4122-af7c-116f2bf72179",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def messages_for(products):\n",
+    "    return [\n",
+    "        {\"role\": \"system\", \"content\": \"you are a tech product expert and you need to suggest the best suited product available in India basis the input received in the form of category-subcategory-budget (in inr),\\\n",
+    "          revert with category and subcategory and show the product links as well along with pros and cons, respond in markdown\"},\n",
+    "        {\"role\": \"user\", \"content\": tech_product(products)}\n",
+    "    ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b916db7a-81a4-41d9-87c2-a2346fd874d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "messages_for(\"phone_gaming_40000\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3b4bb3f1-95de-4eb5-afe1-068744f93301",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_top_products(category_subcategory):\n",
+    "    response = openai.chat.completions.create(\n",
+    "        model = \"gpt-4o-mini\",\n",
+    "        messages= messages_for(category_subcategory)\n",
+    "    )\n",
+    "    return response.choices[0].message.content    \n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9272942-acfe-4fca-bd0a-3435c1ee6691",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_top_products('phone_gaming_30000')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c2b3b9a-aceb-4f00-8c8d-8f6837ab94fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def display_markdown(category_subcategory_budget):\n",
+    "    output = get_top_products(category_subcategory_budget)\n",
+    "    display(Markdown(output))\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c135dd7-4ed4-48ee-ba3f-9b4ca1c32149",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "display_markdown('Console_gaming_100000')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0ba06c55-7ef9-47eb-aeaf-3c4a7b29bccc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}