From 8e88c446702e46b50c18f5d534a1df03f918ee0b Mon Sep 17 00:00:00 2001 From: Daniel Quillan Roxas <100287361+danielquillanroxas@users.noreply.github.com> Date: Tue, 4 Feb 2025 12:27:59 +0300 Subject: [PATCH] Delete week2/day2.ipynb --- week2/day2.ipynb | 952 ----------------------------------------------- 1 file changed, 952 deletions(-) delete mode 100644 week2/day2.ipynb diff --git a/week2/day2.ipynb b/week2/day2.ipynb deleted file mode 100644 index 363ca6d..0000000 --- a/week2/day2.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!\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": 1, - "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": 2, - "id": "d1715421-cead-400b-99af-986388a97aff", - "metadata": {}, - "outputs": [], - "source": [ - "import gradio as gr # oh yeah!" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "337d5dfc-0181-4e3b-8ab9-e78e0c3f657b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "OpenAI API Key exists and begins sk-proj-\n", - "Anthropic API Key exists and begins sk-ant-\n", - "Google API Key exists and begins AIzaSyDY\n" - ] - } - ], - "source": [ - "# Load environment variables in a file called .env\n", - "# Print the key prefixes to help with any debugging\n", - "\n", - "load_dotenv()\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": 4, - "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 = anthropic.Anthropic()\n", - "\n", - "google.generativeai.configure()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "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\"" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "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": 7, - "id": "aef7d314-2b13-436b-b02d-8de3b72b193f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\"Today's date is October 18, 2023.\"" - ] - }, - "execution_count": 7, - "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": 8, - "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": 9, - "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": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "shout(\"hello\")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "08f1f15a-122e-4502-b112-6ee2817dda32", - "metadata": {}, - "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": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# The simplicty of gradio. This might appear in \"light mode\" - I'll show you how to make this in dark mode later.\n", - "\n", - "gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\").launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "c9a359a4-685c-4c99-891c-bb4d1cb7f426", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7861\n", - "* Running on public URL: https://2de7e99a4de25a4c27.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": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Adding share=True means that it can be accessed publically\n", - "# A more permanent hosting is available using a platform called Spaces from HuggingFace, which we will touch on next week\n", - "# NOTE: Some Anti-virus software and Corporate Firewalls might not like you using share=True. If you're at work on on a work network, I suggest skip this test.\n", - "\n", - "gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\", flagging_mode=\"never\").launch(share=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "cd87533a-ff3a-4188-8998-5bedd5ba2da3", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7862\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" - } - ], - "source": [ - "# Adding inbrowser=True opens up a new browser window automatically\n", - "\n", - "gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\", flagging_mode=\"never\").launch(inbrowser=True)" - ] - }, - { - "cell_type": "markdown", - "id": "b42ec007-0314-48bf-84a4-a65943649215", - "metadata": {}, - "source": [ - "## Forcing dark mode\n", - "\n", - "Gradio appears in light mode or dark mode depending on the settings of the browser and computer. There is a way to force gradio to appear in dark mode, but Gradio recommends against this as it should be a user preference (particularly for accessibility reasons). But if you wish to force dark mode for your screens, below is how to do it." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "e8129afa-532b-4b15-b93c-aa9cca23a546", - "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": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Shout has been called with input Hello\n" - ] - } - ], - "source": [ - "# Define this variable and then pass js=force_dark_mode when creating the Interface\n", - "\n", - "force_dark_mode = \"\"\"\n", - "function refresh() {\n", - " const url = new URL(window.location);\n", - " if (url.searchParams.get('__theme') !== 'dark') {\n", - " url.searchParams.set('__theme', 'dark');\n", - " window.location.href = url.href;\n", - " }\n", - "}\n", - "\"\"\"\n", - "gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\", flagging_mode=\"never\", js=force_dark_mode).launch()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "3cc67b26-dd5f-406d-88f6-2306ee2950c0", - "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": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Inputs and Outputs\n", - "\n", - "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": 15, - "id": "f235288e-63a2-4341-935b-1441f9be969b", - "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": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# And now - changing the function from \"shout\" to \"message_gpt\"\n", - "\n", - "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": 20, - "id": "af9a3262-e626-4e4b-80b0-aca152405e63", - "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": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Let's use Markdown\n", - "# Are you wondering why it makes any difference to set system_message when it's not referred to in the code below it?\n", - "# I'm taking advantage of system_message being a global variable, used back in the message_gpt function (go take a look)\n", - "# Not a great software engineering practice, but quite sommon during Jupyter Lab R&D!\n", - "\n", - "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": 28, - "id": "88c04ebf-0671-4fea-95c9-bc1565d4bb4f", - "metadata": {}, - "outputs": [], - "source": [ - "# Let's create a call that streams back results\n", - "# If you'd like a refresher on Generators (the \"yield\" keyword),\n", - "# Please take a look at the Intermediate Python notebook in week1 folder.\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": 29, - "id": "0bb1f789-ff11-4cba-ac67-11b815e29d09", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7874\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": 29, - "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": 22, - "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": 23, - "id": "a0066ffd-196e-4eaf-ad1e-d492958b62af", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7871\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": 23, - "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": "markdown", - "id": "bc5a70b9-2afe-4a7c-9bed-2429229e021b", - "metadata": {}, - "source": [ - "## Minor improvement\n", - "\n", - "I've made a small improvement to this code.\n", - "\n", - "Previously, it had these lines:\n", - "\n", - "```\n", - "for chunk in result:\n", - " yield chunk\n", - "```\n", - "\n", - "There's actually a more elegant way to achieve this (which Python people might call more 'Pythonic'):\n", - "\n", - "`yield from result`\n", - "\n", - "I cover this in more detail in the Intermediate Python notebook in the week1 folder - take a look if you'd like more." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "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", - " else:\n", - " raise ValueError(\"Unknown model\")\n", - " yield from result" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "8d8ce810-997c-4b6a-bc4f-1fc847ac8855", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7875\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": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "view = gr.Interface(\n", - " fn=stream_model,\n", - " inputs=[gr.Textbox(label=\"Your message:\"), gr.Dropdown([\"GPT\", \"Claude\"], label=\"Select model\", value=\"Claude\")],\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": "markdown", - "id": "92d7c49b-2e0e-45b3-92ce-93ca9f962ef4", - "metadata": {}, - "source": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - "

Before you read the next few cells

\n", - " \n", - " Try to do this yourself - go back to the company brochure in week1, day5 and add a Gradio UI to the end. Then come and look at the solution.\n", - " \n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "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": 32, - "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", - "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.\"" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "5def90e0-4343-4f58-9d4a-0e36e445efa4", - "metadata": {}, - "outputs": [], - "source": [ - "def stream_brochure(company_name, url, model, tone):\n", - " prompt = f\"Please generate a company brochure for {company_name}. Write the brochure in the following tone: {tone}.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", - " else:\n", - " raise ValueError(\"Unknown model\")\n", - " yield from result" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "66399365-5d67-4984-9d47-93ed26c0bd3d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* Running on local URL: http://127.0.0.1:7877\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": 39, - "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 including http:// or https://\"),\n", - " gr.Dropdown([\"GPT\", \"Claude\"], label=\"Select model\"),\n", - " gr.Dropdown([\"Formal\", \"Casual\", \"Academic\", \"Funny\", \"Snarky\"], label=\"Select tone\", value=\"Formal\"),],\n", - " outputs=[gr.Markdown(label=\"Brochure:\")],\n", - " flagging_mode=\"never\"\n", - ")\n", - "view.launch()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ede97ca3-a0f8-4f6e-be17-d1de7fef9cc0", - "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": "3.11.11" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}