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amrrsamrrs
authoredMar 2, 2023
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‎ChatGPT_API_in_Python.ipynb

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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "Tpvg4zPywMHs",
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"outputId": "580608a4-cbe2-4cff-fbc8-b9baafbf1738"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/70.1 KB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m70.1/70.1 KB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h"
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]
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}
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],
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"source": [
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"!pip install -q openai "
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]
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},
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{
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"cell_type": "code",
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"source": [
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"openai.api_key = 'sk-'"
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],
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"metadata": {
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"id": "ODDG2iqZwSSd"
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},
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"execution_count": 4,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"# Method 1 - using OpenAI Python Package\n"
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],
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"metadata": {
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"id": "aC5vluO-zrob"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"import openai"
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],
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"metadata": {
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"id": "LtV_zj6-2AKA"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"messages = [\n",
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" {\"role\": \"system\", \"content\": \"You are a kind helpful assistant.\"},\n",
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"]"
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],
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"metadata": {
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"id": "OuSeQk_Uwaiz"
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},
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"execution_count": 5,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"while True:\n",
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" message = input(\"User : \")\n",
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" if message:\n",
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" messages.append(\n",
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" {\"role\": \"user\", \"content\": message},\n",
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" )\n",
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" chat = openai.ChatCompletion.create(\n",
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" model=\"gpt-3.5-turbo\", messages=messages\n",
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" )\n",
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" \n",
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" reply = chat.choices[0].message.content\n",
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" print(f\"ChatGPT: {reply}\")\n",
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" messages.append({\"role\": \"assistant\", \"content\": reply})"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 522
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},
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"id": "Fp7-srfFwfAj",
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"outputId": "f89dce21-b1d9-4fea-fef9-ccd24da75b3f"
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},
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"execution_count": 20,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"User : What is your name?\n",
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"ChatGPT: I am a language model developed by OpenAI, and I don't have a specific name. You can call me OpenAI if you'd like. How can I assist you further?\n",
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"User : Can you call me Abdul?\n",
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"ChatGPT: Sure, Abdul. Is there anything else I can help you with?\n",
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"User : What is my name?\n",
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"ChatGPT: Your name is Abdul.\n"
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]
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},
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{
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"output_type": "error",
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"ename": "KeyboardInterrupt",
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"evalue": "ignored",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-20-ea7afd863921>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"User : \"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m messages.append(\n\u001b[1;32m 5\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"role\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"user\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"content\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36mraw_input\u001b[0;34m(self, prompt)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[0;34m\"raw_input was called, but this frontend does not support input requests.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 859\u001b[0m )\n\u001b[0;32m--> 860\u001b[0;31m return self._input_request(str(prompt),\n\u001b[0m\u001b[1;32m 861\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_ident\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 862\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_header\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36m_input_request\u001b[0;34m(self, prompt, ident, parent, password)\u001b[0m\n\u001b[1;32m 902\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 903\u001b[0m \u001b[0;31m# re-raise KeyboardInterrupt, to truncate traceback\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 904\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Interrupted by user\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 905\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 906\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Invalid Message:\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexc_info\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m: Interrupted by user"
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]
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"# Method 2 - Using API Endpoint"
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],
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"metadata": {
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"id": "v7dxLScWztlp"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"import requests\n",
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"\n",
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"URL = \"https://api.openai.com/v1/chat/completions\"\n",
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"\n",
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"payload = {\n",
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"\"model\": \"gpt-3.5-turbo\",\n",
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"\"messages\": [{\"role\": \"user\", \"content\": f\"What is the first computer in the world?\"}],\n",
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"\"temperature\" : 1.0,\n",
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"\"top_p\":1.0,\n",
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"\"n\" : 1,\n",
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"\"stream\": False,\n",
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"\"presence_penalty\":0,\n",
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"\"frequency_penalty\":0,\n",
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"}\n",
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"\n",
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"headers = {\n",
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"\"Content-Type\": \"application/json\",\n",
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"\"Authorization\": f\"Bearer {openai.api_key}\"\n",
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"}\n",
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"\n",
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"response = requests.post(URL, headers=headers, json=payload, stream=False)"
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],
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"metadata": {
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"id": "7Np__WWwwmTe"
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},
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"execution_count": 18,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"response.content"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "93wHyedwz6vK",
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"outputId": "32d4fef4-6f08-4d29-a352-29f83cee5fe6"
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},
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"execution_count": 19,
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"b'{\"id\":\"chatcmpl-6pWCWPka1Z3jlVmQDU8iH6NQFZ5ty\",\"object\":\"chat.completion\",\"created\":1677736528,\"model\":\"gpt-3.5-turbo-0301\",\"usage\":{\"prompt_tokens\":16,\"completion_tokens\":33,\"total_tokens\":49},\"choices\":[{\"message\":{\"role\":\"assistant\",\"content\":\"\\\\n\\\\nThe first computer in the world was the Electronic Numerical Integrator and Computer (ENIAC), created in 1945 at the University of Pennsylvania.\"},\"finish_reason\":\"stop\",\"index\":0}]}\\n'"
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]
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},
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"metadata": {},
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"execution_count": 19
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}
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]
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},
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{
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"cell_type": "code",
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"source": [],
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"metadata": {
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"id": "Nm_aW1HVz8To"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}

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