Building_Chatbot.ipynb

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   "metadata": {
    "id": "JMXGlIvAwn30"
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   "source": [
    "# Building Chatbot\n",
    "\n",
    "## Goal\n",
    "- Utilize the chat format to have extended conversations with chatbots specialized for specific tasks or behaviors.\n",
    "\n",
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7fa0d9b5",
   "metadata": {
    "height": 115,
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import openai\n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "_ = load_dotenv(find_dotenv()) # read local .env file\n",
    "\n",
    "openai.api_key  = os.getenv('OPENAI_API_KEY')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f5308d65",
   "metadata": {
    "height": 302,
    "tags": []
   },
   "outputs": [],
   "source": [
    "def get_completion(prompt, model=\"gpt-3.5-turbo\"):\n",
    "    messages = [{\"role\": \"user\", \"content\": prompt}]\n",
    "    response = openai.ChatCompletion.create(\n",
    "        model=model,\n",
    "        messages=messages,\n",
    "        temperature=0, \n",
    "    )\n",
    "    return response.choices[0].message[\"content\"]\n",
    "\n",
    "def get_completion_from_messages(messages, model=\"gpt-3.5-turbo\", temperature=0):\n",
    "    response = openai.ChatCompletion.create(\n",
    "        model=model,\n",
    "        messages=messages,\n",
    "        temperature=temperature, \n",
    "    )\n",
    "\n",
    "    return response.choices[0].message[\"content\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8a68985",
   "metadata": {},
   "source": [
    "## Build a conversation among user, system and assistant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cee681b7",
   "metadata": {
    "height": 98,
    "tags": []
   },
   "outputs": [],
   "source": [
    "messages =  [  \n",
    "{'role':'system', 'content':'You are an assistant that speaks like Shakespeare.'},    \n",
    "{'role':'user', 'content':'tell me a joke'},   \n",
    "{'role':'assistant', 'content':'Why did the chicken cross the road'},   \n",
    "{'role':'user', 'content':'I don\\'t know'}  ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "da45ea0f",
   "metadata": {
    "height": 47,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "To get to the other side, good sir! 'Tis a classic jest, oft told by jesters and merrymakers throughout the land.\n"
     ]
    }
   ],
   "source": [
    " response = get_completion_from_messages(messages, temperature=1)\n",
    "print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ca733f8f",
   "metadata": {
    "height": 98,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello So! It's nice to meet you. How are you doing today?\n"
     ]
    }
   ],
   "source": [
    "messages =  [  \n",
    "{'role':'system', 'content':'You are friendly chatbot.'},    \n",
    "{'role':'user', 'content':'Hi, my name is So'}  ]\n",
    "response = get_completion_from_messages(messages, temperature=1)\n",
    "print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0ae595bc",
   "metadata": {
    "height": 98,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I'm sorry, but I don't have the capability to remember specific user information like names. Is there anything else I can help you with today?\n"
     ]
    }
   ],
   "source": [
    "messages =  [  \n",
    "{'role':'system', 'content' :'You are friendly chatbot.'},    \n",
    "{'role':'user', 'content':'Yes, can you remind me, What is my name?'}  ]\n",
    "response = get_completion_from_messages(messages, temperature=1)\n",
    "print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "56cbb817",
   "metadata": {
    "height": 132,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your name is So!\n"
     ]
    }
   ],
   "source": [
    "messages =  [  \n",
    "{'role':'system', 'content':'You are friendly chatbot.'},\n",
    "{'role':'user', 'content':'Hi, my name is So'},\n",
    "{'role':'assistant', 'content': \"Hello So! It's nice to meet you. How are you doing today?\"},\n",
    "{'role':'user', 'content':'Yes, you can remind me, What is my name?'}  ]\n",
    "response = get_completion_from_messages(messages, temperature=1)\n",
    "print(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dedba66a-58b0-40d4-b9ae-47e79ae22328",
   "metadata": {
    "id": "bBg_MpXeYnTq"
   },
   "source": [
    "## Build an OrderBot that can take orders at a pizza restaurant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e76749ac",
   "metadata": {
    "height": 234,
    "tags": []
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   "outputs": [],
   "source": [
    "def collect_messages(_):\n",
    "    prompt = inp.value_input\n",
    "    inp.value = ''\n",
    "    context.append({'role':'user', 'content':f\"{prompt}\"})\n",
    "    response = get_completion_from_messages(context) \n",
    "    context.append({'role':'assistant', 'content':f\"{response}\"})\n",
    "    panels.append(\n",
    "        pn.Row('User:', pn.pane.Markdown(prompt, width=600)))\n",
    "    panels.append(\n",
    "        pn.Row('Assistant:', pn.pane.Markdown(response, width=600, style={'background-color': '#F6F6F6'})))\n",
    " \n",
    "    return pn.Column(*panels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "474b557c",
   "metadata": {
    "height": 829,
    "tags": []
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   "outputs": [
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       "})(window);</script>"
      ],
      "text/plain": [
       "Column\n",
       "    [0] TextInput(placeholder='Enter text here…')\n",
       "    [1] Row\n",
       "        [0] Button(name='Chat!')\n",
       "    [2] ParamFunction(function, _pane=Column, height=300, loading_indicator=True)"
      ]
     },
     "execution_count": 24,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1002"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import panel as pn  # GUI\n",
    "pn.extension()\n",
    "\n",
    "panels = []\n",
    "\n",
    "context = [ {'role':'system', 'content':\"\"\"\n",
    "You are OrderBot, an automated service to collect orders for a pizza restaurant. \\\n",
    "You first greet the customer, then collects the order, \\\n",
    "and then asks if it's a pickup or delivery. \\\n",
    "You wait to collect the entire order, then summarize it and check for a final \\\n",
    "time if the customer wants to add anything else. \\\n",
    "If it's a delivery, you ask for an address. \\\n",
    "Finally you collect the payment.\\\n",
    "Make sure to clarify all options, extras and sizes to uniquely \\\n",
    "identify the item from the menu.\\\n",
    "You respond in a short, very conversational friendly style. \\\n",
    "The menu includes \\\n",
    "pepperoni pizza  12.95, 10.00, 7.00 \\\n",
    "cheese pizza   10.95, 9.25, 6.50 \\\n",
    "eggplant pizza   11.95, 9.75, 6.75 \\\n",
    "fries 4.50, 3.50 \\\n",
    "greek salad 7.25 \\\n",
    "Toppings: \\\n",
    "extra cheese 2.00, \\\n",
    "mushrooms 1.50 \\\n",
    "sausage 3.00 \\\n",
    "canadian bacon 3.50 \\\n",
    "AI sauce 1.50 \\\n",
    "peppers 1.00 \\\n",
    "Drinks: \\\n",
    "coke 3.00, 2.00, 1.00 \\\n",
    "sprite 3.00, 2.00, 1.00 \\\n",
    "bottled water 5.00 \\\n",
    "\"\"\"} ]  # accumulate messages\n",
    "\n",
    "\n",
    "inp = pn.widgets.TextInput(value=\"Hi\", placeholder='Enter text here…')\n",
    "button_conversation = pn.widgets.Button(name=\"Chat!\")\n",
    "\n",
    "interactive_conversation = pn.bind(collect_messages, button_conversation)\n",
    "\n",
    "dashboard = pn.Column(\n",
    "    inp,\n",
    "    pn.Row(button_conversation),\n",
    "    pn.panel(interactive_conversation, loading_indicator=True, height=300),\n",
    ")\n",
    "\n",
    "dashboard"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0ffcd9b",
   "metadata": {},
   "source": [
    "The panel cannot be displayed and outputed in Github, here are the screen caps of the chatbot panel and the conversation between user and assistant.\n",
    "\n",
    "![alt text](Chatbot_Panel_01-1.png)\n",
    "\n",
    "![alt text](Chatbot_Panel_02-1.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a0ee11b9",
   "metadata": {
    "height": 166
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "```json\n",
      "{\n",
      "    \"pizza\": {\n",
      "        \"item\": \"Cheese Pizza (Small)\",\n",
      "        \"price\": 6.50\n",
      "    },\n",
      "    \"toppings\": [],\n",
      "    \"drinks\": [\n",
      "        {\n",
      "            \"item\": \"Coke (Small)\",\n",
      "            \"price\": 1.00\n",
      "        }\n",
      "    ],\n",
      "    \"sides\": [\n",
      "        {\n",
      "            \"item\": \"Fries\",\n",
      "            \"price\": 3.50\n",
      "        }\n",
      "    ],\n",
      "    \"total price\": 11.00\n",
      "}\n",
      "```\n"
     ]
    }
   ],
   "source": [
    "messages =  context.copy()\n",
    "messages.append(\n",
    "{'role':'system', 'content':'create a json summary of the previous food order. Itemize the price for each item\\\n",
    " The fields should be 1) pizza, include size 2) list of toppings 3) list of drinks, include size   4) list of sides include size  5)total price '},    \n",
    ")\n",
    " #The fields should be 1) pizza, price 2) list of toppings 3) list of drinks, include size include price  4) list of sides include size include price, 5)total price '},    \n",
    "\n",
    "response = get_completion_from_messages(messages, temperature=0)\n",
    "print(response)"
   ]
  }
 ],
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