From eddf803b2fc4953bb2fa3a3e48b35a3b7ff19a5e Mon Sep 17 00:00:00 2001 From: Daniel Fernandez Colon Date: Tue, 2 Sep 2025 21:55:29 +0200 Subject: [PATCH] Wekk 2 day 2 exercises using three models --- .../day2-exercises-three-personalities.ipynb | 360 ++++++++++++++++++ 1 file changed, 360 insertions(+) create mode 100644 week2/community-contributions/day2-exercises-three-personalities.ipynb diff --git a/week2/community-contributions/day2-exercises-three-personalities.ipynb b/week2/community-contributions/day2-exercises-three-personalities.ipynb new file mode 100644 index 0000000..895ed6f --- /dev/null +++ b/week2/community-contributions/day2-exercises-three-personalities.ipynb @@ -0,0 +1,360 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8b0e11f2-9ea4-48c2-b8d2-d0a4ba967827", + "metadata": {}, + "source": [ + "# Gradio Day!\n", + "\n", + "Today we will build User Interfaces using the outrageously simple Gradio framework.\n", + "\n", + "Prepare for joy!\n", + "\n", + "Please note: your Gradio screens may appear in 'dark mode' or 'light mode' depending on your computer settings." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c44c5494-950d-4d2f-8d4f-b87b57c5b330", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import gradio as gr\n", + "import requests\n", + "from bs4 import BeautifulSoup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "337d5dfc-0181-4e3b-8ab9-e78e0c3f657b", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "# Print the key prefixes to help with any debugging\n", + "\n", + "load_dotenv(override=True)\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", + "google_api_key = os.getenv('GOOGLE_API_KEY')\n", + "\n", + "if openai_api_key:\n", + " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n", + "else:\n", + " print(\"OpenAI API Key not set\")\n", + " \n", + "if anthropic_api_key:\n", + " print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n", + "else:\n", + " print(\"Anthropic API Key not set\")\n", + "\n", + "if google_api_key:\n", + " print(f\"Google API Key exists and begins {google_api_key[:8]}\")\n", + "else:\n", + " print(\"Google API Key not set\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "010ba7ae-7b74-44fc-b1b0-d21860588093", + "metadata": {}, + "outputs": [], + "source": [ + "# Set base url\n", + "\n", + "ANTHROPIC_BASE_URL = \"https://api.anthropic.com/v1/\"\n", + "GEMINI_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta/openai/\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "22586021-1795-4929-8079-63f5bb4edd4c", + "metadata": {}, + "outputs": [], + "source": [ + "# Connect to OpenAI, Anthropic and Google; comment out the Claude or Google lines if you're not using them\n", + "\n", + "openai = OpenAI()\n", + "\n", + "claude = OpenAI(base_url=ANTHROPIC_BASE_URL, api_key=anthropic_api_key)\n", + "\n", + "gemini = OpenAI(base_url=GEMINI_BASE_URL, api_key=google_api_key)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e3895dde-3d02-4807-9e86-5a3eb48c5260", + "metadata": {}, + "outputs": [], + "source": [ + "# Set models\n", + "\n", + "gpt_model = \"gpt-4.1-mini\"\n", + "claude_model = \"claude-3-5-haiku-latest\"\n", + "gemini_model = \"gemini-2.0-flash\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "af9a3262-e626-4e4b-80b0-aca152405e63", + "metadata": {}, + "outputs": [], + "source": [ + "system_message = \"You are a helpful assistant that responds in markdown\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88c04ebf-0671-4fea-95c9-bc1565d4bb4f", + "metadata": {}, + "outputs": [], + "source": [ + "def stream_gpt(prompt):\n", + " messages = [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": prompt}\n", + " ]\n", + " stream = openai.chat.completions.create(\n", + " model=gpt_model,\n", + " messages=messages,\n", + " stream=True\n", + " )\n", + " result = \"\"\n", + " for chunk in stream:\n", + " result += chunk.choices[0].delta.content or \"\"\n", + " yield result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "901256fd-675c-432d-bd6e-49ab8dade125", + "metadata": {}, + "outputs": [], + "source": [ + "def stream_claude(prompt):\n", + " messages = [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": prompt}\n", + " ]\n", + " stream = claude.chat.completions.create(\n", + " model=claude_model,\n", + " messages=messages,\n", + " max_tokens=1000,\n", + " stream=True\n", + " )\n", + " result = \"\"\n", + " for chunk in stream:\n", + " result += chunk.choices[0].delta.content or \"\"\n", + " yield result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6d7e0d48-6140-484c-81aa-2f6aa6da8f25", + "metadata": {}, + "outputs": [], + "source": [ + "def stream_gemini(prompt):\n", + " messages = [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": prompt}\n", + " ]\n", + " stream = gemini.chat.completions.create(\n", + " model=gemini_model,\n", + " messages=messages,\n", + " stream=True\n", + " )\n", + " result = \"\"\n", + " for chunk in stream:\n", + " result += chunk.choices[0].delta.content or \"\"\n", + " yield result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0087623a-4e31-470b-b2e6-d8d16fc7bcf5", + "metadata": {}, + "outputs": [], + "source": [ + "def stream_model(prompt, model):\n", + " if model==\"GPT\":\n", + " result = stream_gpt(prompt)\n", + " elif model==\"Claude\":\n", + " result = stream_claude(prompt)\n", + " elif model==\"Gemini\":\n", + " result = stream_gemini(prompt)\n", + " else:\n", + " raise ValueError(\"Unknown model\")\n", + " yield from result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d8ce810-997c-4b6a-bc4f-1fc847ac8855", + "metadata": {}, + "outputs": [], + "source": [ + "view = gr.Interface(\n", + " fn=stream_model,\n", + " inputs=[gr.Textbox(label=\"Your message:\"), gr.Dropdown([\"GPT\", \"Claude\", \"Gemini\"], label=\"Select model\", value=\"GPT\")],\n", + " outputs=[gr.Markdown(label=\"Response:\")],\n", + " flagging_mode=\"never\"\n", + ")\n", + "view.launch()" + ] + }, + { + "cell_type": "markdown", + "id": "d933865b-654c-4b92-aa45-cf389f1eda3d", + "metadata": {}, + "source": [ + "# Building a company brochure generator\n", + "\n", + "Now you know how - it's simple!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1626eb2e-eee8-4183-bda5-1591b58ae3cf", + "metadata": {}, + "outputs": [], + "source": [ + "# A class to represent a Webpage\n", + "\n", + "class Website:\n", + " url: str\n", + " title: str\n", + " text: str\n", + "\n", + " def __init__(self, url):\n", + " self.url = url\n", + " response = requests.get(url)\n", + " self.body = response.content\n", + " soup = BeautifulSoup(self.body, 'html.parser')\n", + " self.title = soup.title.string if soup.title else \"No title found\"\n", + " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", + " irrelevant.decompose()\n", + " self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n", + "\n", + " def get_contents(self):\n", + " return f\"Webpage Title:\\n{self.title}\\nWebpage Contents:\\n{self.text}\\n\\n\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c701ec17-ecd5-4000-9f68-34634c8ed49d", + "metadata": {}, + "outputs": [], + "source": [ + "# With massive thanks to Bill G. who noticed that a prior version of this had a bug! Now fixed.\n", + "\n", + "base_system_message = \"You are an assistant that analyzes the contents of a company website landing page \\\n", + "and creates a short brochure about the company for prospective customers, investors and recruits. Respond in markdown.\"\n", + "system_message = base_system_message" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "11e9debb-9500-4783-a72e-fc3659214a8e", + "metadata": {}, + "outputs": [], + "source": [ + "def system_personality(personality) -> str:\n", + " match personality:\n", + " case \"Hostile\":\n", + " return base_system_message + \" Use a critical and sarcastic tone that highlights flaws, inconsistencies, or poor design choices in the company's website.\"\n", + " case \"Formal\":\n", + " return base_system_message + \" Use a professional and respectful tone, with precise language and a structured presentation that inspires trust.\"\n", + " case \"Funny\":\n", + " return base_system_message + \" Use a lighthearted and humorous tone, incorporating playful language, witty remarks and engaging expressions.\"\n", + " case _:\n", + " return base_system_message" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5def90e0-4343-4f58-9d4a-0e36e445efa4", + "metadata": {}, + "outputs": [], + "source": [ + "def stream_brochure(company_name, url, model, personality):\n", + " yield \"\"\n", + " prompt = f\"Please generate a company brochure for {company_name}. Here is their landing page:\\n\"\n", + " prompt += Website(url).get_contents()\n", + " global system_message\n", + " system_message = system_personality(personality)\n", + " if model==\"GPT\":\n", + " result = stream_gpt(prompt)\n", + " elif model==\"Claude\":\n", + " result = stream_claude(prompt)\n", + " elif model==\"Gemini\":\n", + " result = stream_gemini(prompt)\n", + " else:\n", + " raise ValueError(\"Unknown model\")\n", + " yield from result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "66399365-5d67-4984-9d47-93ed26c0bd3d", + "metadata": {}, + "outputs": [], + "source": [ + "view = gr.Interface(\n", + " fn=stream_brochure,\n", + " inputs=[\n", + " gr.Textbox(label=\"Company name:\"),\n", + " gr.Textbox(label=\"Landing page URL including http:// or https://\"),\n", + " gr.Dropdown([\"GPT\", \"Claude\", \"Gemini\"], label=\"Select model\"),\n", + " gr.Dropdown([\"Funny\",\"Formal\", \"Hostile\"], label=\"Select a personality\")],\n", + " outputs=[gr.Markdown(label=\"Brochure:\")],\n", + " flagging_mode=\"never\"\n", + ")\n", + "view.launch()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.11.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}