You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 

458 lines
16 KiB

{
"cells": [
{
"cell_type": "markdown",
"id": "75e2ef28-594f-4c18-9d22-c6b8cd40ead2",
"metadata": {},
"source": [
"# Day 3 - Conversational AI - aka Chatbot!"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "70e39cd8-ec79-4e3e-9c26-5659d42d0861",
"metadata": {},
"outputs": [],
"source": [
"#!pip install ipywidgets\n",
"\n",
"# imports\n",
"\n",
"import os\n",
"from dotenv import load_dotenv\n",
"from openai import OpenAI\n",
"import gradio as gr"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "231605aa-fccb-447e-89cf-8b187444536a",
"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 AIzaSyDi\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": 3,
"id": "6541d58e-2297-4de1-b1f7-77da1b98b8bb",
"metadata": {},
"outputs": [],
"source": [
"# Initialize\n",
"\n",
"openai = OpenAI()\n",
"MODEL = 'gpt-4o-mini'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "e16839b5-c03b-4d9d-add6-87a0f6f37575",
"metadata": {},
"outputs": [],
"source": [
"system_message = \"You are a helpful assistant\""
]
},
{
"cell_type": "markdown",
"id": "98e97227-f162-4d1a-a0b2-345ff248cbe7",
"metadata": {},
"source": [
"# Please read this! A change from the video:\n",
"\n",
"In the video, I explain how we now need to write a function called:\n",
"\n",
"`chat(message, history)`\n",
"\n",
"Which expects to receive `history` in a particular format, which we need to map to the OpenAI format before we call OpenAI:\n",
"\n",
"```\n",
"[\n",
" {\"role\": \"system\", \"content\": \"system message here\"},\n",
" {\"role\": \"user\", \"content\": \"first user prompt here\"},\n",
" {\"role\": \"assistant\", \"content\": \"the assistant's response\"},\n",
" {\"role\": \"user\", \"content\": \"the new user prompt\"},\n",
"]\n",
"```\n",
"\n",
"But Gradio has been upgraded! Now it will pass in `history` in the exact OpenAI format, perfect for us to send straight to OpenAI.\n",
"\n",
"So our work just got easier!\n",
"\n",
"We will write a function `chat(message, history)` where: \n",
"**message** is the prompt to use \n",
"**history** is the past conversation, in OpenAI format \n",
"\n",
"We will combine the system message, history and latest message, then call OpenAI."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "1eacc8a4-4b48-4358-9e06-ce0020041bc1",
"metadata": {},
"outputs": [],
"source": [
"# Simpler than in my video - we can easily create this function that calls OpenAI\n",
"# It's now just 1 line of code to prepare the input to OpenAI!\n",
"\n",
"def chat(message, history):\n",
" messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
"\n",
" print(\"History is:\")\n",
" print(history)\n",
" print(\"And messages is:\")\n",
" print(messages)\n",
"\n",
" stream = openai.chat.completions.create(model=MODEL, messages=messages, stream=True)\n",
"\n",
" response = \"\"\n",
" for chunk in stream:\n",
" response += chunk.choices[0].delta.content or ''\n",
" yield response"
]
},
{
"cell_type": "markdown",
"id": "1334422a-808f-4147-9c4c-57d63d9780d0",
"metadata": {},
"source": [
"## And then enter Gradio's magic!"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "0866ca56-100a-44ab-8bd0-1568feaf6bf2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on local URL: http://127.0.0.1:7861\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"History is:\n",
"[]\n",
"And messages is:\n",
"[{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'content': 'Hello how are you?'}]\n",
"History is:\n",
"[{'role': 'user', 'metadata': None, 'content': 'Hello how are you?', 'options': None}, {'role': 'assistant', 'metadata': None, 'content': \"Hello! I'm just a program, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?\", 'options': None}]\n",
"And messages is:\n",
"[{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'metadata': None, 'content': 'Hello how are you?', 'options': None}, {'role': 'assistant', 'metadata': None, 'content': \"Hello! I'm just a program, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?\", 'options': None}, {'role': 'user', 'content': 'What are the top 5 most used anagrams?'}]\n",
"History is:\n",
"[{'role': 'user', 'metadata': None, 'content': 'Hello how are you?', 'options': None}, {'role': 'assistant', 'metadata': None, 'content': \"Hello! I'm just a program, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?\", 'options': None}, {'role': 'user', 'metadata': None, 'content': 'What are the top 5 most used anagrams?', 'options': None}, {'role': 'assistant', 'metadata': None, 'content': 'Anagrams are words or phrases formed by rearranging the letters of a different word or phrase, using all the original letters exactly once. While \"most used\" can be subjective and may vary by context, here are five common anagrams that people often encounter:\\n\\n1. **Listen** → **Silent**\\n2. **Dormitory** → **Dirty room**\\n3. **The eyes** → **They see**\\n4. **Astronomer** → **Moon starer**\\n5. **School master** → **The classroom**\\n\\nThese anagrams are often cited due to their cleverness or the fact that they form meaningful phrases. If you have a specific context in mind, I can provide more tailored examples!', 'options': None}]\n",
"And messages is:\n",
"[{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'metadata': None, 'content': 'Hello how are you?', 'options': None}, {'role': 'assistant', 'metadata': None, 'content': \"Hello! I'm just a program, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?\", 'options': None}, {'role': 'user', 'metadata': None, 'content': 'What are the top 5 most used anagrams?', 'options': None}, {'role': 'assistant', 'metadata': None, 'content': 'Anagrams are words or phrases formed by rearranging the letters of a different word or phrase, using all the original letters exactly once. While \"most used\" can be subjective and may vary by context, here are five common anagrams that people often encounter:\\n\\n1. **Listen** → **Silent**\\n2. **Dormitory** → **Dirty room**\\n3. **The eyes** → **They see**\\n4. **Astronomer** → **Moon starer**\\n5. **School master** → **The classroom**\\n\\nThese anagrams are often cited due to their cleverness or the fact that they form meaningful phrases. If you have a specific context in mind, I can provide more tailored examples!', 'options': None}, {'role': 'user', 'content': 'What is it called when a word is spelled the same forwards and backwards?'}]\n"
]
}
],
"source": [
"gr.ChatInterface(fn=chat, type=\"messages\").launch()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "1f91b414-8bab-472d-b9c9-3fa51259bdfe",
"metadata": {},
"outputs": [],
"source": [
"system_message = \"You are a helpful assistant in a clothes store. You should try to gently encourage \\\n",
"the customer to try items that are on sale. Hats are 60% off, and most other items are 50% off. \\\n",
"For example, if the customer says 'I'm looking to buy a hat', \\\n",
"you could reply something like, 'Wonderful - we have lots of hats - including several that are part of our sales evemt.'\\\n",
"Encourage the customer to buy hats if they are unsure what to get.\""
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "4e5be3ec-c26c-42bc-ac16-c39d369883f6",
"metadata": {},
"outputs": [],
"source": [
"def chat(message, history):\n",
" messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
"\n",
" stream = openai.chat.completions.create(model=MODEL, messages=messages, stream=True)\n",
"\n",
" response = \"\"\n",
" for chunk in stream:\n",
" response += chunk.choices[0].delta.content or ''\n",
" yield response"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "413e9e4e-7836-43ac-a0c3-e1ab5ed6b136",
"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": [
"<div><iframe src=\"http://127.0.0.1:7862/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gr.ChatInterface(fn=chat, type=\"messages\").launch()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "d75f0ffa-55c8-4152-b451-945021676837",
"metadata": {},
"outputs": [],
"source": [
"system_message += \"\\nIf the customer asks for shoes, you should respond that shoes are not on sale today, \\\n",
"but remind the customer to look at hats!\""
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "c602a8dd-2df7-4eb7-b539-4e01865a6351",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on local URL: http://127.0.0.1:7863\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7863/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gr.ChatInterface(fn=chat, type=\"messages\").launch()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "0a987a66-1061-46d6-a83a-a30859dc88bf",
"metadata": {},
"outputs": [],
"source": [
"# Fixed a bug in this function brilliantly identified by student Gabor M.!\n",
"# I've also improved the structure of this function\n",
"\n",
"def chat(message, history):\n",
"\n",
" relevant_system_message = system_message\n",
" if 'belt' in message:\n",
" relevant_system_message += \" The store does not sell belts; if you are asked for belts, be sure to point out other items on sale.\"\n",
" \n",
" messages = [{\"role\": \"system\", \"content\": relevant_system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
"\n",
" stream = openai.chat.completions.create(model=MODEL, messages=messages, stream=True)\n",
"\n",
" response = \"\"\n",
" for chunk in stream:\n",
" response += chunk.choices[0].delta.content or ''\n",
" yield response"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "20570de2-eaad-42cc-a92c-c779d71b48b6",
"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": [
"<div><iframe src=\"http://127.0.0.1:7864/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gr.ChatInterface(fn=chat, type=\"messages\").launch()"
]
},
{
"cell_type": "markdown",
"id": "82a57ee0-b945-48a7-a024-01b56a5d4b3e",
"metadata": {},
"source": [
"<table style=\"margin: 0; text-align: left;\">\n",
" <tr>\n",
" <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
" <img src=\"../business.jpg\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
" </td>\n",
" <td>\n",
" <h2 style=\"color:#181;\">Business Applications</h2>\n",
" <span style=\"color:#181;\">Conversational Assistants are of course a hugely common use case for Gen AI, and the latest frontier models are remarkably good at nuanced conversation. And Gradio makes it easy to have a user interface. Another crucial skill we covered is how to use prompting to provide context, information and examples.\n",
"<br/><br/>\n",
"Consider how you could apply an AI Assistant to your business, and make yourself a prototype. Use the system prompt to give context on your business, and set the tone for the LLM.</span>\n",
" </td>\n",
" </tr>\n",
"</table>"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6dfb9e21-df67-4c2b-b952-5e7e7961b03d",
"metadata": {},
"outputs": [],
"source": [
"# Create a chatbot based on a website. Bot uses all the pages on the website to interactively chat with users."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "llms",
"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
}