diff --git a/week2/day2.ipynb b/week2/day2.ipynb
deleted file mode 100644
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--- 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",
- " 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",
- " | \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
-}