Created using Colaboratory

AWS_Lambda_GPT_3.ipynb

@@ -0,0 +1,153 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "authorship_tag": "ABX9TyM1oXVoZ9ziah/2FOj0PnmD",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/PradipNichite/Youtube-Tutorials/blob/main/AWS_Lambda_GPT_3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install openai"
+      ],
+      "metadata": {
+        "id": "IBlElKWDcovS"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "python -m venv venv\n",
+        "\n",
+        "mkdir python\n",
+        "\n",
+        "pip install openai -t python\n",
+        "\n",
+        "Finally Zip python directory and Upload it to layers"
+      ],
+      "metadata": {
+        "id": "ApBfuzsbcwH0"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 16,
+      "metadata": {
+        "id": "FqyUG10JbXQ6"
+      },
+      "outputs": [],
+      "source": [
+        "import openai\n",
+        "openai.api_key=\"key\""
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "notes = \"\"\"Name: Smart Car Cover\n",
+        "properties: Robust, Affordable\"\"\""
+      ],
+      "metadata": {
+        "id": "i2DFFZtaeDqh"
+      },
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "response = openai.Completion.create(\n",
+        "  model=\"text-davinci-003\",\n",
+        "  prompt=f\"Write a product description based on the below information.\\n\\n{notes}\\n\\nDescription:\",\n",
+        "  temperature=0.7,\n",
+        "  max_tokens=256,\n",
+        "  top_p=1,\n",
+        "  frequency_penalty=0,\n",
+        "  presence_penalty=0\n",
+        ")\n",
+        "response['choices'][0]['text']"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 87
+        },
+        "id": "7B0szbJGjkUU",
+        "outputId": "0bb8cb67-483e-43ff-fb1e-cff1bb0eadf6"
+      },
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "'\\n\\nIntroducing the Smart Car Cover! This robust and affordable car cover is perfect for protecting your vehicle from the elements. Constructed from durable materials, it provides a reliable safeguard against dust, dirt and scratches. Its lightweight design makes it easy to store, and its affordable price makes it a great value. Protect your car from the elements with the Smart Car Cover!'"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "string"
+            }
+          },
+          "metadata": {},
+          "execution_count": 15
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import json\n",
+        "import openai\n",
+        "openai.api_key=\"key\"\n",
+        "def lambda_handler(event, context):\n",
+        "    \n",
+        "    body = json.loads(event['body'])\n",
+        "\n",
+        "    response = openai.Completion.create(\n",
+        "      model=\"text-davinci-003\",\n",
+        "      prompt=f\"Write a product description based on the below information.\\n\\n{notes}\\n\\nDescription:\",\n",
+        "      temperature=0.7,\n",
+        "      max_tokens=256,\n",
+        "      top_p=1,\n",
+        "      frequency_penalty=0,\n",
+        "      presence_penalty=0\n",
+        "    )\n",
+        "       \n",
+        "    return {\n",
+        "        'statusCode': 200,\n",
+        "        'headers': {\n",
+        "            'Content-Type': 'application/json'\n",
+        "        },\n",
+        "        'body': json.dumps(response['choices'][0]['text'])\n",
+        "    }"
+      ],
+      "metadata": {
+        "id": "855qjiLEjuhr"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}