diff --git a/week2/day2-with-tasks.ipynb b/week2/day2-with-tasks.ipynb
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+++ b/week2/day2-with-tasks.ipynb
@@ -0,0 +1,952 @@
+{
+ "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
+}