2023_06_17_startup_idea_and_landing_langchain_openai.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "s3gJmU9sefhv"
   },
   "source": [
    "MIT License\n",
    "\n",
    "Copyright (c) 2023 Pavel Shibanov [https://blog.experienced.dev/](https://blog.experienced.dev/turn-1c-into-a-startup-idea-landing-page-using-langchain-chatgpt/?utm_source=notebooks)\n",
    "\n",
    "Permission is hereby granted, free of charge, to any person obtaining a copy\n",
    "of this software and associated documentation files (the \"Software\"), to deal\n",
    "in the Software without restriction, including without limitation the rights\n",
    "to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
    "copies of the Software, and to permit persons to whom the Software is\n",
    "furnished to do so, subject to the following conditions:\n",
    "\n",
    "The above copyright notice and this permission notice shall be included in all\n",
    "copies or substantial portions of the Software.\n",
    "\n",
    "THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
    "IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
    "FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
    "AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
    "LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
    "OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n",
    "SOFTWARE."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"560\"\n",
       "            height=\"315\"\n",
       "            src=\"https://www.youtube.com/embed/Zqqz5GFcY3A\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7fb8f9cdfb20>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import YouTubeVideo\n",
    "\n",
    "YouTubeVideo(\"Zqqz5GFcY3A\", width=\"560\", height=\"315\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<blockquote class=\"twitter-tweet\"><p lang=\"en\" dir=\"ltr\">Excited to share a Google Colab notebook that transforms just 1¢ worth of tokens into a startup idea and an HTML landing page draft, using <a href=\"https://twitter.com/LangChainAI?ref_src=twsrc%5Etfw\">@LangChainAI</a> and <a href=\"https://twitter.com/OpenAI?ref_src=twsrc%5Etfw\">@OpenAI</a>. <a href=\"https://twitter.com/hashtag/AI?src=hash&amp;ref_src=twsrc%5Etfw\">#AI</a> <a href=\"https://twitter.com/hashtag/startup?src=hash&amp;ref_src=twsrc%5Etfw\">#startup</a> <a href=\"https://twitter.com/hashtag/startups?src=hash&amp;ref_src=twsrc%5Etfw\">#startups</a> <a href=\"https://twitter.com/hashtag/ChatGPT?src=hash&amp;ref_src=twsrc%5Etfw\">#ChatGPT</a> <a href=\"https://twitter.com/hashtag/langchain?src=hash&amp;ref_src=twsrc%5Etfw\">#langchain</a><a href=\"https://t.co/eLrP2hZABe\">https://t.co/eLrP2hZABe</a></p>&mdash; Pavel Shibanov (@shibanovp) <a href=\"https://twitter.com/shibanovp/status/1670198229294542849?ref_src=twsrc%5Etfw\">June 17, 2023</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "\n",
    "display(\n",
    "    HTML(\n",
    "        '<blockquote class=\"twitter-tweet\"><p lang=\"en\" dir=\"ltr\">Excited to share a Google Colab notebook that transforms just 1¢ worth of tokens into a startup idea and an HTML landing page draft, using <a href=\"https://twitter.com/LangChainAI?ref_src=twsrc%5Etfw\">@LangChainAI</a> and <a href=\"https://twitter.com/OpenAI?ref_src=twsrc%5Etfw\">@OpenAI</a>. <a href=\"https://twitter.com/hashtag/AI?src=hash&amp;ref_src=twsrc%5Etfw\">#AI</a> <a href=\"https://twitter.com/hashtag/startup?src=hash&amp;ref_src=twsrc%5Etfw\">#startup</a> <a href=\"https://twitter.com/hashtag/startups?src=hash&amp;ref_src=twsrc%5Etfw\">#startups</a> <a href=\"https://twitter.com/hashtag/ChatGPT?src=hash&amp;ref_src=twsrc%5Etfw\">#ChatGPT</a> <a href=\"https://twitter.com/hashtag/langchain?src=hash&amp;ref_src=twsrc%5Etfw\">#langchain</a><a href=\"https://t.co/eLrP2hZABe\">https://t.co/eLrP2hZABe</a></p>&mdash; Pavel Shibanov (@shibanovp) <a href=\"https://twitter.com/shibanovp/status/1670198229294542849?ref_src=twsrc%5Etfw\">June 17, 2023</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>'\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "cOeDC3R7efhx"
   },
   "outputs": [],
   "source": [
    "%pip install -q python-dotenv==1.0.0 langchain==0.0.201 openai==0.27.8 pytrends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "sMWoohzfefh0"
   },
   "outputs": [],
   "source": [
    "from dotenv import load_dotenv, find_dotenv\n",
    "\n",
    "_ = load_dotenv(find_dotenv())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "hqubp_Jtefh0"
   },
   "outputs": [],
   "source": [
    "# @title Idea PromptTemplate\n",
    "# @markdown Feel free to modify it if you want to generate ideas in a different way.\n",
    "from langchain.prompts import ChatPromptTemplate\n",
    "\n",
    "generate_idea_prompt_template = ChatPromptTemplate.from_template(\n",
    "    \"\"\"\n",
    "    Generate an innovative and feasible startup idea in {industry}\n",
    "    that requires an initial investment of under ${budget}.\n",
    "    Briefly explain the core concept of the idea, potential customers,\n",
    "    and how it could generate revenue.\n",
    "    \"\"\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 86
    },
    "id": "Lnv6CTDbefh1",
    "outputId": "d447a95f-fe05-45bc-b59e-9c7c18c5210c"
   },
   "outputs": [],
   "source": [
    "# @title Idea Parameters { run: \"auto\", display-mode: \"form\" }\n",
    "from IPython.display import display, Markdown\n",
    "\n",
    "industry = \"Insurance\"  # @param [\"Information Technology\", \"Automotive\", \"Financial Services\", \"Energy\", \"Telecommunications\", \"Retail\", \"Construction\", \"Manufacturing\", \"Aerospace\", \"Food and Beverage\", \"Pharmaceuticals\", \"Media and Entertainment\", \"Insurance\", \"Transportation\", \"Hospitality\", \"Real Estate\", \"Education\", \"Utilities\", \"Mining\"] {allow-input: true}\n",
    "budget = 1000  # @param {type:\"number\"}\n",
    "\n",
    "generate_idea = generate_idea_prompt_template.format_messages(\n",
    "    budget=budget, industry=industry\n",
    ")\n",
    "display(Markdown(generate_idea[0].content))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "3gW-EG3hefh1",
    "outputId": "3819aa16-b6b5-40f1-a604-e2d7c8b330dd"
   },
   "outputs": [],
   "source": [
    "# @title LLM Configuration { run: \"auto\", display-mode: \"form\" }\n",
    "\n",
    "import os\n",
    "from langchain.chat_models import ChatOpenAI\n",
    "from langchain.chains import LLMChain\n",
    "\n",
    "# @markdown You can obtain your own API key from [openai.com](https://platform.openai.com/account/api-keys).\\\n",
    "# @markdown Once you have it, you can either paste it here or set it as your OPENAI_API_KEY environment variable.\n",
    "openai_api_key = \"sk-...\"  # @param {type:\"string\"}\n",
    "os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"OPENAI_API_KEY\", openai_api_key)\n",
    "# @markdown If you have access to the gpt-4-0613 model, selecting it could yield even better results.\n",
    "model = \"gpt-3.5-turbo-0613\"  # @param [\"gpt-3.5-turbo-0613\",\"gpt-4-0613\"]\n",
    "# @markdown In this context, 'temperature' adjusts the output from being predictable to being more random. Feel free to experiment with this parameter to achieve more creative results.\n",
    "temperature = 1.3  # @param {type:\"slider\", min:0, max:2, step:0.1}\n",
    "# temperature = 0.0\n",
    "llm = ChatOpenAI(temperature=temperature, model=model)\n",
    "f\"{model=} {temperature=}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 337
    },
    "id": "4Ya3U-YGefh2",
    "outputId": "ea2d8ca7-df6c-41bd-9c96-e2ea12003917"
   },
   "outputs": [],
   "source": [
    "# @title Generate an Idea\n",
    "from IPython.display import display, Markdown\n",
    "\n",
    "idea = llm(generate_idea)\n",
    "display(Markdown(idea.content))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "bl_P_T9Nefh2",
    "outputId": "4ec6545e-ac65-48db-bd44-6c6ff7de66e6"
   },
   "outputs": [],
   "source": [
    "# @title Generate SEO keywords { run: \"auto\", display-mode: \"form\" }\n",
    "# @markdown Number of keywords to generate\n",
    "num_keywords = 3  # @param {type: \"number\"}\n",
    "# @markdown I prefer to keep this temperature close to zero. Increase it if you would like to get more creative with keywords.\n",
    "temperature_for_keywords = 0  # @param {type:\"slider\", min:0, max:2, step:0.1}\n",
    "llm = ChatOpenAI(temperature=temperature_for_keywords, model=model)\n",
    "f\"{num_keywords=} {temperature_for_keywords=}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "cdQxcBt_efh2"
   },
   "outputs": [],
   "source": [
    "# @title Keywords PromptTemplate\n",
    "# @markdown Feel free to modify it if you wish to generate keywords in a different manner.\n",
    "get_keywords_prompt_template = ChatPromptTemplate.from_template(\n",
    "    \"\"\"\n",
    "    Generate a list of {num_keywords} SEO keywords for a startup idea:\n",
    "    ```\n",
    "    {idea}\n",
    "    ```\n",
    "    \"\"\"\n",
    ")\n",
    "get_keywords_messages = get_keywords_prompt_template.format_messages(\n",
    "    num_keywords=num_keywords, idea=idea\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "0vHUD29eefh2",
    "outputId": "d76f72de-0097-4b07-dd01-2c749a8f3769"
   },
   "outputs": [],
   "source": [
    "# @title get_seo_keywords Function definition\n",
    "# @markdown Learn more about function calling at [OpenAI](https://openai.com/blog/function-calling-and-other-api-updates#function-calling)\n",
    "from langchain.schema import HumanMessage\n",
    "import json\n",
    "\n",
    "functions = [\n",
    "    {\n",
    "        \"name\": \"get_seo_keywords\",\n",
    "        \"description\": \"Get seo keywords for the startup idea\",\n",
    "        \"parameters\": {\n",
    "            \"title\": \"Get seo keywords for the startup idea\",\n",
    "            \"description\": \"Input for get seo keywords for the startup idea\",\n",
    "            \"type\": \"object\",\n",
    "            \"properties\": {\n",
    "                \"keywords\": {\n",
    "                    \"title\": \"Seo keywords\",\n",
    "                    \"description\": \"List of SEO keywords\",\n",
    "                    \"type\": \"array\",\n",
    "                    \"items\": {\"type\": \"string\"},\n",
    "                },\n",
    "            },\n",
    "            \"required\": [\"keywords\"],\n",
    "        },\n",
    "    }\n",
    "]\n",
    "\n",
    "message = llm.predict_messages(get_keywords_messages, functions=functions)\n",
    "print(message.additional_kwargs[\"function_call\"])\n",
    "function_call = json.loads(message.additional_kwargs[\"function_call\"][\"arguments\"])\n",
    "function_call\n",
    "kw_list = function_call[\"keywords\"][:num_keywords]\n",
    "print(f\"{kw_list=}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "J8DIbBiTefh3"
   },
   "outputs": [],
   "source": [
    "# @markdown To use your own or refined keywords, uncomment the next line.\n",
    "# kw_list=['keyword', 'keyword2', 'keyword3']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 483
    },
    "id": "p4noV4N5efh3",
    "outputId": "0ad1d865-1771-4b41-c8f4-f568c8a1a55f"
   },
   "outputs": [],
   "source": [
    "# @title Google Trends last 12 months with [pytrends](https://github.com/GeneralMills/pytrends)\n",
    "# @markdown Errors occurring in this step could indicate a variety of issues. If this happens, start by looking at the [docs](https://github.com/GeneralMills/pytrends#caveats). However, remember that you can safely skip this step and proceed to generate your landing page.\n",
    "from pytrends.request import TrendReq\n",
    "\n",
    "keywords = \", \".join(kw_list)\n",
    "print(f\"{keywords=}\")\n",
    "pytrends = TrendReq(hl=\"en-US\", tz=360)\n",
    "pytrends.build_payload(kw_list, cat=0, timeframe=\"today 12-m\", geo=\"\", gprop=\"\")\n",
    "interest = pytrends.interest_over_time()\n",
    "interest.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "mQR-RjZCefh4"
   },
   "outputs": [],
   "source": [
    "# @markdown You can work with the returned dataframe.\n",
    "# interest.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "-N0Cq_vGefh5",
    "outputId": "017ea796-137c-4177-d179-f0539a90c327"
   },
   "outputs": [],
   "source": [
    "# @title Landing Page Generation Parameters { run: \"auto\", display-mode: \"form\" }\n",
    "# @markdown I prefer to keep this temperature close to zero. Increasing it might result in made-up HTML tags, among other things.\n",
    "temperature_for_html = 0  # @param {type:\"slider\", min:0, max:2, step:0.1}\n",
    "llm = ChatOpenAI(temperature=temperature_for_html, model=model)\n",
    "# @markdown Email you would like to use\n",
    "email = \"do-not-reply@example.com\"  # @param {\"type\": \"string\"}\n",
    "f\"{temperature_for_html=} {email}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "wOpWev11efh5",
    "outputId": "20c446fa-3067-45b4-d53e-0de097215e71"
   },
   "outputs": [],
   "source": [
    "# @title Generate Landing Page\n",
    "get_landing_page = ChatPromptTemplate.from_template(\n",
    "    \"\"\"\n",
    "    Create an HTML5 startup landing page using Tailwind CSS, optimized for the following keywords: \"{keywords}\", with a Join the Waitlist maito:{email} button, for the idea:\n",
    "    ```\n",
    "    {idea}\n",
    "    ```\n",
    "    \"\"\"\n",
    ")\n",
    "get_landing_page_messages = get_landing_page.format_messages(\n",
    "    keywords=keywords, idea=idea, email=email\n",
    ")\n",
    "message = llm.predict_messages(get_landing_page_messages)\n",
    "\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "display(HTML(message.content))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 17
    },
    "id": "6f7VT7GZefh6",
    "outputId": "85f67ce2-d730-4d09-839e-ff1ff8362489"
   },
   "outputs": [],
   "source": [
    "# @title Download Your Landing Page\n",
    "from google.colab import files\n",
    "\n",
    "with open(\"index.html\", \"w\") as file:\n",
    "    file.write(message.content)\n",
    "files.download(\"index.html\")"
   ]
  }
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