From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
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182 lines
3.9 KiB
182 lines
3.9 KiB
{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"Import Required Libraries" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 49, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import os\n", |
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"from dotenv import load_dotenv\n", |
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"from openai import OpenAI\n", |
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"import gradio as gr" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"Load Environment Variables" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 50, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"load_dotenv()\n", |
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"openai_api_key = os.getenv('OPENAI_API_KEY')\n", |
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"if not openai_api_key:\n", |
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" print(\"OpenAI API Key not set\")" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"Initialize OpenAI Client and Define Model" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 51, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"openai = OpenAI()\n", |
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"MODEL = 'gpt-4o-mini'" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"Define the System Message" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 52, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"system_message = (\n", |
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" \"You are a helpful assistant, trying your best to answer every question as accurately as possible. \"\n", |
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" \"You are also free to say you do not know if you do not have the information to answer a question. \"\n", |
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" \"You always respond in markdown.\"\n", |
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")" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"Define the Chat Function" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 53, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def chat(message, history):\n", |
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" messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n", |
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"\n", |
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" stream = openai.chat.completions.create(model=MODEL, messages=messages, stream=True)\n", |
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"\n", |
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" response = \"\"\n", |
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" for chunk in stream:\n", |
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" response += chunk.choices[0].delta.content or ''\n", |
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" yield response" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"Create the Chat Interface" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 54, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"demo = gr.ChatInterface(\n", |
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" fn=chat,\n", |
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" title=\"AI chatbot\",\n", |
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" description=\"Please login to use the chat interface\",\n", |
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" type='messages',\n", |
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")" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"auth_data is a list of tuples, where each tuple contains a username and password." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 55, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"auth_data = [(\"user_1\", \"password_1\"), (\"user_2\", \"password_2\"), (\"user_3\", \"password_3\")]" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"Add Authentication and Launch\n", |
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"\n", |
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"auth_message is the message displayed to users before accessing the interface." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"demo.launch(share=True,\n", |
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" auth=auth_data,\n", |
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" auth_message=\"Please enter your credentials to access the chat interface\",\n", |
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")" |
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] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "llms", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.11" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 2 |
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}
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