into_sql/chatlas.quarto_ipynb at main · JCfly3000/into_sql · GitHub

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{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "---\n",
        "title: \"chatlas LLM pacakge for Python\"\n",
        "\n",
        "execute:\n",
        "  warning: false\n",
        "  error: false\n",
        "\n",
        "  \n",
        "format:\n",
        "  html:\n",
        "    toc: true\n",
        "    toc-location: right\n",
        "    code-fold: show\n",
        "    code-tools: true\n",
        "    number-sections: true\n",
        "    code-block-bg: true\n",
        "    code-block-border-left: \"#31BAE9\"\n",
        "---\n",
        "\n",
        "chatlas provides a simple and unified interface across large language model (llm) providers in Python. \n",
        "\n",
        "![](https://posit-dev.github.io/chatlas/images/logo.png){width=\"260\"}\n",
        "\n",
        "\n",
        "```{bash}\n",
        "#| eval: false\n",
        "pip3 install -U chatlas\n",
        "pip3 install -q -U google-genai\n",
        "pip3 install shiny\n",
        "pip3 install keyring\n",
        "```"
      ],
      "id": "56885a8f"
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "from chatlas import ChatGoogle,token_usage\n",
        "import keyring"
      ],
      "id": "9efb6193",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Google gemini"
      ],
      "id": "09c7df20"
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "from chatlas import ChatGoogle\n",
        "\n",
        "chat_google_model = ChatGoogle(\n",
        "  model = \"gemini-2.0-flash\",\n",
        "  api_key=keyring.get_password(\"system\", \"google_ai_api_key\"),\n",
        "  system_prompt = \"You are a IT expert\",\n",
        ")\n",
        "\n",
        "chat_google_model"
      ],
      "id": "9b0d999f",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "result=chat_google_model.chat(\"What preceding languages most influenced Python?\")\n",
        "result"
      ],
      "id": "13fc9296",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Interactive mode"
      ],
      "id": "d35ae1f7"
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "#chat_google_model.app()"
      ],
      "id": "7b2fe6c3",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# console mode"
      ],
      "id": "bf069658"
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "#chat_google_model.console()"
      ],
      "id": "5f77b18a",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# reference\n",
        "\n",
        "https://ellmer.tidyverse.org/"
      ],
      "id": "56ad68dc"
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "language": "python",
      "display_name": "Python 3 (ipykernel)",
      "path": "/Library/Frameworks/Python.framework/Versions/3.13/share/jupyter/kernels/python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}