01_open_ai_101.ipynb

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      "Requirement already satisfied: openai in /Users/xuwenhao/miniconda3/envs/py310/lib/python3.10/site-packages (0.27.0)\n",
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      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/xuwenhao/miniconda3/envs/py310/lib/python3.10/site-packages (from requests>=2.20->openai) (1.26.14)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /Users/xuwenhao/miniconda3/envs/py310/lib/python3.10/site-packages (from requests>=2.20->openai) (3.4)\n",
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      "Requirement already satisfied: frozenlist>=1.1.1 in /Users/xuwenhao/miniconda3/envs/py310/lib/python3.10/site-packages (from aiohttp->openai) (1.3.3)\n",
      "Requirement already satisfied: attrs>=17.3.0 in /Users/xuwenhao/miniconda3/envs/py310/lib/python3.10/site-packages (from aiohttp->openai) (22.2.0)\n",
      "Requirement already satisfied: aiosignal>=1.1.2 in /Users/xuwenhao/miniconda3/envs/py310/lib/python3.10/site-packages (from aiohttp->openai) (1.3.1)\n",
      "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /Users/xuwenhao/miniconda3/envs/py310/lib/python3.10/site-packages (from aiohttp->openai) (4.0.2)\n"
     ]
    }
   ],
   "source": [
    "!conda install openai"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 体验并测试Open AI的API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "{\n",
      "    \"title\": \"Glow-in-the-Dark Inflatable PVC Frog Night Market Hot Selling Water Toy for Kids\",\n",
      "    \"selling_points\": [\n",
      "        \"Made of durable PVC material\",\n",
      "        \"Glow-in-the-dark design for night play\",\n",
      "        \"Inflatable design for easy storage and transport\",\n",
      "        \"Perfect for water play and outdoor activities\",\n",
      "        \"Great gift for kids\"\n",
      "    ],\n",
      "    \"price_range\": \"$10 - $20\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "import openai\n",
    "import os\n",
    "\n",
    "openai.api_key = os.environ.get(\"OPENAI_API_KEY\")\n",
    "COMPLETION_MODEL = \"text-davinci-003\"\n",
    "\n",
    "\n",
    "prompt = \"\"\"\n",
    "Consideration proudct : 工厂现货PVC充气青蛙夜市地摊热卖充气玩具发光蛙儿童水上玩具\n",
    "\n",
    "1. Compose human readale product title used on Amazon in english within 20 words.\n",
    "2. Write 5 selling points for the products in Amazon.\n",
    "3. Evaluate a price range for this product in U.S.\n",
    "\n",
    "Output the result in json format with three properties called title, selling_points and price_range\n",
    "\"\"\"\n",
    "\n",
    "def get_response(prompt):\n",
    "    completions = openai.Completion.create (\n",
    "        engine=COMPLETION_MODEL,\n",
    "        prompt=prompt,\n",
    "        max_tokens=512,\n",
    "        n=1,\n",
    "        stop=None,\n",
    "        temperature=0.0,        \n",
    "    )\n",
    "    message = completions.choices[0].text\n",
    "    return message\n",
    "\n",
    "print(get_response(prompt)) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 命名实体识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "{\n",
      "  \"names\": [\"Ten Hag\"]\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "prompt = \"\"\"\n",
    "Man Utd must win trophies, says Ten Hag ahead of League Cup final\n",
    "\n",
    "请将上面这句话的人名提取出来，并用json的方式展示出来\n",
    "\"\"\"\n",
    "\n",
    "print(get_response(prompt))"
   ]
  }
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