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+{
+ "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": [
+ "# imports\n",
+ "\n",
+ "import os\n",
+ "import ollama\n",
+ "import gradio as gr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "6541d58e-2297-4de1-b1f7-77da1b98b8bb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Initialize\n",
+ "MODEL_LLAMA = 'llama3.2'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "e16839b5-c03b-4d9d-add6-87a0f6f37575",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "system_message = \"You are a helpful assistant\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "1eacc8a4-4b48-4358-9e06-ce0020041bc1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "\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 = ollama.chat(model=MODEL_LLAMA, messages=messages, stream=True)\n",
+ "\n",
+ " response_text = \"\"\n",
+ " for chunk in stream:\n",
+ " response_text += chunk['message']['content']\n",
+ " yield response_text"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1334422a-808f-4147-9c4c-57d63d9780d0",
+ "metadata": {},
+ "source": [
+ "## And then enter Gradio's magic!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "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",
+ "* Running on public URL: https://6539f61952f430fa2d.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": [
+ "
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+ ],
+ "text/plain": [
+ ""
+ ]
+ },
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+ "output_type": "display_data"
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+ "metadata": {},
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+ },
+ {
+ "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'}]\n"
+ ]
+ }
+ ],
+ "source": [
+ "gr.ChatInterface(fn=chat, type=\"messages\").launch(share=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "1f91b414-8bab-472d-b9c9-3fa51259bdfe",
+ "metadata": {
+ "editable": true,
+ "slideshow": {
+ "slide_type": ""
+ },
+ "tags": []
+ },
+ "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 event.'\\\n",
+ "Encourage the customer to buy hats if they are unsure what to get.\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "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",
+ "\n",
+ " stream = ollama.chat(model=MODEL_LLAMA, messages=messages, stream=True)\n",
+ "\n",
+ " response_text = \"\"\n",
+ " for chunk in stream:\n",
+ " response_text += chunk['message']['content']\n",
+ " yield response_text"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "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",
+ "* Running on public URL: https://79f09af36adcf63688.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": [
+ ""
+ ],
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+ "text/plain": []
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "gr.ChatInterface(fn=chat, type=\"messages\").launch(share=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "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": 12,
+ "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",
+ "* Running on public URL: https://30446ba4b8f125e235.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": [
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+ "execution_count": 12,
+ "metadata": {},
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+ }
+ ],
+ "source": [
+ "gr.ChatInterface(fn=chat, type=\"messages\").launch(share=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "5b128796-1bea-445d-9e3b-8321ca822257",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "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",
+ "\n",
+ " stream = ollama.chat(model=MODEL_LLAMA, messages=messages, stream=True)\n",
+ "\n",
+ " response_text = \"\"\n",
+ " for chunk in stream:\n",
+ " response_text += chunk['message']['content']\n",
+ " yield response_text"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "20570de2-eaad-42cc-a92c-c779d71b48b6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7865\n",
+ "* Running on public URL: https://3933c80bf256709cf9.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"
+ ]
+ },
+ {
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+ "execution_count": 15,
+ "metadata": {},
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+ ],
+ "source": [
+ "gr.ChatInterface(fn=chat, type=\"messages\").launch(share=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "82a57ee0-b945-48a7-a024-01b56a5d4b3e",
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+ "source": [
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " Business Applications\n",
+ " 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",
+ "
\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.\n",
+ " | \n",
+ "
\n",
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6dfb9e21-df67-4c2b-b952-5e7e7961b03d",
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+ }
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+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
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