Basic_OpenAI_Assistant.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOPJspOTwgrFprdrdp6y4sx"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "moojOnJp1ztN",
        "outputId": "1c6760dd-0536-4fdc-a79c-65157caeddcb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: openai in /usr/local/lib/python3.10/dist-packages (1.1.1)\n",
            "Requirement already satisfied: anyio<4,>=3.5.0 in /usr/local/lib/python3.10/dist-packages (from openai) (3.7.1)\n",
            "Requirement already satisfied: distro<2,>=1.7.0 in /usr/lib/python3/dist-packages (from openai) (1.7.0)\n",
            "Requirement already satisfied: httpx<1,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from openai) (0.25.1)\n",
            "Requirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from openai) (1.10.13)\n",
            "Requirement already satisfied: tqdm>4 in /usr/local/lib/python3.10/dist-packages (from openai) (4.66.1)\n",
            "Requirement already satisfied: typing-extensions<5,>=4.5 in /usr/local/lib/python3.10/dist-packages (from openai) (4.5.0)\n",
            "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (3.4)\n",
            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (1.3.0)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (1.1.3)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (2023.7.22)\n",
            "Requirement already satisfied: httpcore in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (1.0.1)\n",
            "Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.10/dist-packages (from httpcore->httpx<1,>=0.23.0->openai) (0.14.0)\n"
          ]
        }
      ],
      "source": [
        "pip install openai"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import openai\n",
        "import requests\n",
        "import json\n",
        "from openai import OpenAI\n",
        "#openai.api_key = \"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\""
      ],
      "metadata": {
        "id": "5YvKKC7215Sg"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "api_key = \"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\"\n",
        "\n",
        "client = OpenAI(api_key=api_key)\n",
        "\n",
        "assistant = client.beta.assistants.create(\n",
        "    name=\"General Knowledge Bot\",\n",
        "    instructions=\"You answer general knowledge questions as accureately as possible.\",\n",
        "    tools=[{\"type\": \"code_interpreter\"}],\n",
        "    model=\"gpt-4-1106-preview\"\n",
        ")"
      ],
      "metadata": {
        "id": "U57zhvIS2X3a"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "thread = client.beta.threads.create()"
      ],
      "metadata": {
        "id": "xWj6eDZM4lNQ"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print (thread)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HNdlisHU4rXr",
        "outputId": "119de734-0d0b-4873-b46a-1e2050416c6c"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Thread(id='thread_fUoaPAYgwPuKHO8a4EAVrg7d', created_at=1699454908, metadata={}, object='thread')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "message = client.beta.threads.messages.create(\n",
        "    thread_id=thread.id,\n",
        "    role=\"user\",\n",
        "    content=\"Who won the 2023 rugby world cup?\"\n",
        ")"
      ],
      "metadata": {
        "id": "-n79EeY64uk9"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "run = client.beta.threads.runs.create(\n",
        "  thread_id=thread.id,\n",
        "  assistant_id=assistant.id,\n",
        "  instructions=\"Anwer the question as accurately as possible.\"\n",
        ")"
      ],
      "metadata": {
        "id": "hp6jhI8P42VI"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "run = client.beta.threads.runs.retrieve(\n",
        "  thread_id=thread.id,\n",
        "  run_id=run.id\n",
        ")"
      ],
      "metadata": {
        "id": "P5NuNhL1Y0cH"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "messages = client.beta.threads.messages.list(\n",
        "  thread_id=thread.id\n",
        ")"
      ],
      "metadata": {
        "id": "C-gse0Qu5Ofz"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print (messages)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5SKqBxqE5X-4",
        "outputId": "088f04cb-6ed5-4a6e-8962-66772e964ac4"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "SyncCursorPage[ThreadMessage](data=[ThreadMessage(id='msg_sm12NbmQSTNvaRWQPb0mXiP3', assistant_id=None, content=[MessageContentText(text=Text(annotations=[], value='Who won the 2023 rugby world cup?'), type='text')], created_at=1699454919, file_ids=[], metadata={}, object='thread.message', role='user', run_id=None, thread_id='thread_fUoaPAYgwPuKHO8a4EAVrg7d')], object='list', first_id='msg_sm12NbmQSTNvaRWQPb0mXiP3', last_id='msg_sm12NbmQSTNvaRWQPb0mXiP3', has_more=False)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "DBf2I8qb5gAa"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}