diff --git a/week2/day2-with-tasks.ipynb b/week2/day2-with-tasks.ipynb deleted file mode 100644 index 01abde9..0000000 --- a/week2/day2-with-tasks.ipynb +++ /dev/null @@ -1,952 +0,0 @@ -{ - "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!" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "c44c5494-950d-4d2f-8d4f-b87b57c5b330", - "metadata": {}, - "outputs": [], - "source": [ - "# imports\n", - "\n", - "import os\n", - "import requests\n", - "from bs4 import BeautifulSoup\n", - "from typing import List\n", - "from dotenv import load_dotenv\n", - "from openai import OpenAI\n", - "import google.generativeai\n", - "import anthropic" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d1715421-cead-400b-99af-986388a97aff", - "metadata": {}, - "outputs": [], - "source": [ - "import gradio as gr # oh yeah!" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "337d5dfc-0181-4e3b-8ab9-e78e0c3f657b", - "metadata": {}, - "outputs": [], - "source": [ - "# Load environment variables in a file called .env\n", - "\n", - "load_dotenv()\n", - "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", - "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", - "os.environ['GOOGLE_API_KEY'] = os.getenv('GOOGLE_API_KEY', 'your-key-if-not-using-env')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "22586021-1795-4929-8079-63f5bb4edd4c", - "metadata": {}, - "outputs": [], - "source": [ - "# Connect to OpenAI, Anthropic and Google\n", - "\n", - "openai = OpenAI()\n", - "\n", - "claude = anthropic.Anthropic()\n", - "\n", - "google.generativeai.configure()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "b16e6021-6dc4-4397-985a-6679d6c8ffd5", - "metadata": {}, - "outputs": [], - "source": [ - "# A generic system message - no more snarky adversarial AIs!\n", - "\n", - "system_message = \"You are a helpful assistant that responds in markdown\"" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "02ef9b69-ef31-427d-86d0-b8c799e1c1b1", - "metadata": {}, - "outputs": [], - "source": [ - "# Let's wrap a call to GPT-4o-mini in a simple function\n", - "\n", - "def message_gpt(prompt):\n", - " messages = [\n", - " {\"role\": \"system\", \"content\": system_message},\n", - " {\"role\": \"user\", \"content\": prompt}\n", - " ]\n", - " completion = openai.chat.completions.create(\n", - " model='gpt-4o-mini',\n", - " messages=messages,\n", - " )\n", - " return completion.choices[0].message.content" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "aef7d314-2b13-436b-b02d-8de3b72b193f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\"Today's date is October 3, 2023.\"" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "message_gpt(\"What is today's date?\")" - ] - }, - { - "cell_type": "markdown", - "id": "f94013d1-4f27-4329-97e8-8c58db93636a", - "metadata": {}, - "source": [ - "## User Interface time!" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "bc664b7a-c01d-4fea-a1de-ae22cdd5141a", - "metadata": {}, - "outputs": [], - "source": [ - "# here's a simple function\n", - "\n", - "def shout(text):\n", - " print(f\"Shout has been called with input {text}\")\n", - " return text.upper()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "083ea451-d3a0-4d13-b599-93ed49b975e4", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Shout has been called with input hello\n" - ] - }, - { - "data": { - "text/plain": [ - "'HELLO'" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "shout(\"hello\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "08f1f15a-122e-4502-b112-6ee2817dda32", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7860\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Shout has been called with input hello\n", - "Created dataset file at: .gradio\\flagged\\dataset1.csv\n" - ] - } - ], - "source": [ - "gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\").launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "c9a359a4-685c-4c99-891c-bb4d1cb7f426", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7863\n", - "* Running on public URL: https://1b149f8be167f11821.gradio.live\n", - "\n", - "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Shout has been called with input wow, this is cool! \n" - ] - } - ], - "source": [ - "gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\", flagging_mode=\"never\").launch(share=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "3cc67b26-dd5f-406d-88f6-2306ee2950c0", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7865\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Shout has been called with input hello again :)\n" - ] - } - ], - "source": [ - "view = gr.Interface(\n", - " fn=shout,\n", - " inputs=[gr.Textbox(label=\"Your message:\", lines=6)],\n", - " outputs=[gr.Textbox(label=\"Response:\", lines=8)],\n", - " flagging_mode=\"never\"\n", - ")\n", - "view.launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "f235288e-63a2-4341-935b-1441f9be969b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7866\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "view = gr.Interface(\n", - " fn=message_gpt,\n", - " inputs=[gr.Textbox(label=\"Your message:\", lines=6)],\n", - " outputs=[gr.Textbox(label=\"Response:\", lines=8)],\n", - " flagging_mode=\"never\"\n", - ")\n", - "view.launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "af9a3262-e626-4e4b-80b0-aca152405e63", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7867\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "system_message = \"You are a helpful assistant that responds in markdown\"\n", - "\n", - "view = gr.Interface(\n", - " fn=message_gpt,\n", - " inputs=[gr.Textbox(label=\"Your message:\")],\n", - " outputs=[gr.Markdown(label=\"Response:\")],\n", - " flagging_mode=\"never\"\n", - ")\n", - "view.launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "88c04ebf-0671-4fea-95c9-bc1565d4bb4f", - "metadata": {}, - "outputs": [], - "source": [ - "# Let's create a call that streams back results\n", - "\n", - "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-4o-mini',\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": 20, - "id": "0bb1f789-ff11-4cba-ac67-11b815e29d09", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7868\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "view = gr.Interface(\n", - " fn=stream_gpt,\n", - " inputs=[gr.Textbox(label=\"Your message:\")],\n", - " outputs=[gr.Markdown(label=\"Response:\")],\n", - " flagging_mode=\"never\"\n", - ")\n", - "view.launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "bbc8e930-ba2a-4194-8f7c-044659150626", - "metadata": {}, - "outputs": [], - "source": [ - "def stream_claude(prompt):\n", - " result = claude.messages.stream(\n", - " model=\"claude-3-haiku-20240307\",\n", - " max_tokens=1000,\n", - " temperature=0.7,\n", - " system=system_message,\n", - " messages=[\n", - " {\"role\": \"user\", \"content\": prompt},\n", - " ],\n", - " )\n", - " response = \"\"\n", - " with result as stream:\n", - " for text in stream.text_stream:\n", - " response += text or \"\"\n", - " yield response" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "a0066ffd-196e-4eaf-ad1e-d492958b62af", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7869\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "view = gr.Interface(\n", - " fn=stream_claude,\n", - " inputs=[gr.Textbox(label=\"Your message:\")],\n", - " outputs=[gr.Markdown(label=\"Response:\")],\n", - " flagging_mode=\"never\"\n", - ")\n", - "view.launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 186, - "id": "1f3906c9-2bb2-40ca-acc9-c3e8a7c4c61c", - "metadata": {}, - "outputs": [], - "source": [ - "def chat_gemini(prompt):\n", - " gemini = google.generativeai.GenerativeModel(\n", - " model_name='gemini-1.5-flash',\n", - " system_instruction=system_message\n", - " )\n", - " response = gemini.generate_content(prompt)\n", - " return(response.text)" - ] - }, - { - "cell_type": "code", - "execution_count": 187, - "id": "a14cddc3-7a1e-4c09-98f4-ee6b33486922", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Hello! 👋 How can I help you today? 😊 \\n'" - ] - }, - "execution_count": 187, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "chat_gemini(\"Hello\")" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "id": "6d74e2de-1fcd-49d4-9991-bffa7f5099ec", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7879\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 87, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "gr.Interface(fn=chat_gemini, inputs=\"textbox\", outputs=\"textbox\").launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "223465b1-6699-4d34-b1a9-38306edc4ca7", - "metadata": {}, - "outputs": [], - "source": [ - "def stream_gemini(prompt):\n", - " gemini = google.generativeai.GenerativeModel(\n", - " model_name='gemini-1.5-flash',\n", - " system_instruction=system_message\n", - " )\n", - " stream = gemini.generate_content(prompt, stream=True)\n", - " result = \"\"\n", - " for chunk in stream:\n", - " result += chunk.text or \"\"\n", - " yield result" - ] - }, - { - "cell_type": "code", - "execution_count": 223, - "id": "28dc9075-013b-43eb-a1ae-59097c781b86", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7897\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 223, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "view = gr.Interface(\n", - " fn=stream_gemini,\n", - " inputs=[gr.Textbox(label=\"Your message:\")],\n", - " outputs=[gr.Markdown(label=\"Response:\")],\n", - " flagging_mode=\"never\"\n", - ")\n", - "view.launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "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==\"Gemini\":\n", - " result = stream_gemini(prompt)\n", - " elif model==\"Claude\":\n", - " result = stream_claude(prompt)\n", - " else:\n", - " raise ValueError(\"Unknown model\")\n", - " for reply in result:\n", - " yield reply" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "8d8ce810-997c-4b6a-bc4f-1fc847ac8855", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7860\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using existing dataset file at: .gradio\\flagged\\dataset2.csv\n" - ] - } - ], - "source": [ - "view = gr.Interface(\n", - " fn=stream_model,\n", - " inputs=[gr.Textbox(label=\"Your message:\"), gr.Dropdown([\"GPT\", \"Claude\", \"Gemini\"], label=\"Select model\")],\n", - " outputs=[gr.Markdown(label=\"Response:\")],\n", - " flagging_mode=\"auto\"\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": 18, - "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": 25, - "id": "c701ec17-ecd5-4000-9f68-34634c8ed49d", - "metadata": {}, - "outputs": [], - "source": [ - "serious_system_prompt = \"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. Use a serious tone in your respose. \\\n", - "Respond in markdown.\"" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "67969d54-2ab5-4133-8d3d-83f08e63755d", - "metadata": {}, - "outputs": [], - "source": [ - "funny_system_prompt = \"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. Use a funny tone in your response. \\\n", - "Respond in markdown.\"" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "5def90e0-4343-4f58-9d4a-0e36e445efa4", - "metadata": {}, - "outputs": [], - "source": [ - "def stream_brochure(company_name, url, model, mode):\n", - " prompt = f\"Please generate a company brochure for {company_name}. Here is their landing page:\\n\"\n", - " prompt += Website(url).get_contents()\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", - " if mode==\"Funny\":\n", - " system_prompt = funny_system_prompt\n", - " elif mode==\"Serious\":\n", - " system_prompt = serious_system_prompt\n", - " else:\n", - " raise ValueError(\"Unknown model\")\n", - " for reply in result:\n", - " yield reply" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "66399365-5d67-4984-9d47-93ed26c0bd3d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7864\n", - "\n", - "To create a public link, set `share=True` in `launch()`.\n" - ] - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "view = gr.Interface(\n", - " fn=stream_brochure,\n", - " inputs=[\n", - " gr.Textbox(label=\"Company name:\"),\n", - " gr.Textbox(label=\"Landing page URL:\"),\n", - " gr.Dropdown([\"GPT\", \"Claude\", \"Gemini\"], label=\"Select model\"),\n", - " gr.Dropdown([\"Funny\", \"Serious\"], label=\"Select mode\")],\n", - " outputs=[gr.Markdown(label=\"Brochure:\")],\n", - " flagging_mode=\"never\"\n", - ")\n", - "view.launch()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d0fc580a-dc98-48c3-9dd4-b19cd3be5a18", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "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": "3.12.0" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}