examples/SDK_List_all_projects_using_pagination.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cMS4FTgtE0s1"
      },
      "outputs": [],
      "source": [
        "!pip install customgpt-client"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PAWpaaSa1WLi"
      },
      "source": [
        "**Create your custom chat bot using a sitemap.**\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Hc9SsdoR1WLm"
      },
      "outputs": [],
      "source": [
        "from customgpt_client import CustomGPT\n",
        "CustomGPT.api_key = \"YOUR_API_TOKEN\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z1ISHsxb1WLo"
      },
      "source": [
        "**An example for to create a project with a sitemap**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PNbGtm_A1WLp"
      },
      "outputs": [],
      "source": [
        "from google.colab import files\n",
        "from customgpt_client.types import File\n",
        "from io import BytesIO\n",
        "# Give a name to your project\n",
        "project_name = 'Example ChatBot using Sitemap'\n",
        "uploaded_file = files.upload()\n",
        "file_content = next(iter(uploaded_file.values()))\n",
        "create_project = CustomGPT.Project.create(project_name=project_name, file=File(payload=file_content, file_name='Yes'))\n",
        "print(create_project)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Get total pages from first request and loop to get all pages of user**"
      ],
      "metadata": {
        "id": "1_c0DAtqLihA"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "D1La0GFc1WLq"
      },
      "outputs": [],
      "source": [
        "import time\n",
        "project_page = CustomGPT.Project.list()\n",
        "print(project_page)\n",
        "data = project_page.parsed.data.data\n",
        "total = project_page.parsed.data.total\n",
        "for i in range(total):\n",
        "  page = i + 1\n",
        "  list_page = CustomGPT.Project.list(page=page)\n",
        "  print(list_page)\n",
        "  data.append(project_page.parsed.data.data)\n",
        "  time.sleep(5)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "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": "3.11.2"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}