notebooks/python/02/LearnSK.ipynb

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     ]
    }
   ],
   "source": [
    "! pip install semantic-kernel -U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import semantic_kernel as sk\n",
    "import semantic_kernel.connectors.ai.open_ai as skaoai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "kernel = sk.Kernel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# deployment, api_key, endpoint = sk.azure_openai_settings_from_dot_env()\n",
    "\n",
    "service_id = \"default\"\n",
    "\n",
    "kernel.add_service(\n",
    "        skaoai.AzureChatCompletion(\n",
    "            service_id=service_id,\n",
    "            env_file_path=\".env\"\n",
    "        ),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# kernel.add_text_completion_service(\"azure_text_competion_service\", skaoai.AzureTextCompletion(deployment,endpoint,api_key=api_key))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "base_plugin = \"../../../plugins/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "pluginFunc = kernel.add_plugin(parent_directory=base_plugin,plugin_name =\"TranslatePlugin\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "translateFunc = pluginFunc[\"Basic\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = await kernel.invoke(translateFunc, input=\"你好，我是你的 AI 编排助手 - Semantic Kernel\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, I am your AI scheduling assistant - Semantic Kernel.\n"
     ]
    }
   ],
   "source": [
    "print(result)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pydev",
   "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": "3.10.12"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}