From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
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.
202 lines
6.1 KiB
202 lines
6.1 KiB
{ |
|
"cells": [ |
|
{ |
|
"cell_type": "markdown", |
|
"id": "a473d607-073d-4963-bdc4-aba654523681", |
|
"metadata": {}, |
|
"source": [ |
|
"## Day 2 Exercise\n", |
|
"building upon the day1 exercise to offer a multi models via dropdown.\n", |
|
"externalized the common methods into a AISystem.py file to be reused down the line" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"id": "f761729f-3bd5-4dd7-9e63-cbe6b4368a66", |
|
"metadata": {}, |
|
"source": [ |
|
"## Load env, check for api keys and load up the connections" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 1, |
|
"id": "fedb3d94-d096-43fd-8a76-9fdbc2d0d78e", |
|
"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 AIzaSyC-\n" |
|
] |
|
} |
|
], |
|
"source": [ |
|
"import os\n", |
|
"from enum import Enum, auto\n", |
|
"from dotenv import load_dotenv\n", |
|
"from openai import OpenAI\n", |
|
"import anthropic\n", |
|
"from AISystem import formatPrompt, AI, AISystem\n", |
|
"import gradio as gr # oh yeah!\n", |
|
"\n", |
|
"# 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\")\n", |
|
"\n", |
|
"openai = OpenAI()\n", |
|
"\n", |
|
"claude = anthropic.Anthropic()\n", |
|
"\n", |
|
"gemini_via_openai_client = OpenAI(\n", |
|
" api_key=google_api_key, \n", |
|
" base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n", |
|
")\n", |
|
"ollama_via_openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n", |
|
"openai_model = \"gpt-4o-mini\"\n", |
|
"claude_model = \"claude-3-haiku-20240307\"\n", |
|
"gemini_model = \"gemini-1.5-flash\"\n", |
|
"ollama_model = \"llama3.2\"" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"id": "17f7987b-2bdf-434a-8fce-6c367f148dde", |
|
"metadata": {}, |
|
"source": [ |
|
"## Create the systems for each llms" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 2, |
|
"id": "f92eef29-325e-418c-a444-879d83d5fbc9", |
|
"metadata": {}, |
|
"outputs": [], |
|
"source": [ |
|
"geminiSys = AISystem(gemini_via_openai_client,\n", |
|
" formatPrompt(\"system\",\"You are a chatbot. you always try to make conversation and get more in depth\"), \n", |
|
" gemini_model,\n", |
|
" AI.GEMINI)\n", |
|
"\n", |
|
"openAiSys = AISystem(openai,\n", |
|
" formatPrompt(\"system\",\"You are a chatbot. you always try to make conversation and get more in depth\"), \n", |
|
" openai_model,\n", |
|
" AI.OPEN_AI)\n", |
|
"\n", |
|
"claudeSys = AISystem(claude,\n", |
|
" \"You are a chatbot. you always try to make conversation and get more in depth\", \n", |
|
" claude_model,\n", |
|
" AI.CLAUDE)\n", |
|
"\n", |
|
"ollamaSys = AISystem(ollama_via_openai,\n", |
|
" formatPrompt(\"system\",\"You are a chatbot. you always try to make conversation and get more in depth\"), \n", |
|
" ollama_model,\n", |
|
" AI.OLLAMA)\n", |
|
"sys_dict = { AI.GEMINI: geminiSys, AI.OPEN_AI: openAiSys, AI.CLAUDE: claudeSys, AI.OLLAMA: ollamaSys}\n", |
|
"\n", |
|
"def stream_model(prompt, model):\n", |
|
" aiSystem = sys_dict.get(AI[model.upper()])\n", |
|
" yield from aiSystem.stream(formatPrompt(\"user\",prompt), True)" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"id": "f8ecd283-92b2-454d-b1ae-8016d41e3026", |
|
"metadata": {}, |
|
"source": [ |
|
"## Create the gradio interface linking with the AI enum for the dropdown" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 3, |
|
"id": "9db8ed67-280a-400d-8543-4ab95863ce51", |
|
"metadata": {}, |
|
"outputs": [ |
|
{ |
|
"name": "stdout", |
|
"output_type": "stream", |
|
"text": [ |
|
"* Running on local URL: http://127.0.0.1:7873\n", |
|
"\n", |
|
"To create a public link, set `share=True` in `launch()`.\n" |
|
] |
|
}, |
|
{ |
|
"data": { |
|
"text/html": [ |
|
"<div><iframe src=\"http://127.0.0.1:7873/\" 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": 3, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
} |
|
], |
|
"source": [ |
|
"\n", |
|
"view = gr.Interface(\n", |
|
" fn=stream_model,\n", |
|
" inputs=[gr.Textbox(label=\"Your prompt:\", lines=6) , gr.Dropdown(choices=[ai.value for ai in AI], label=\"Select model\")],\n", |
|
" outputs=[gr.Markdown(label=\"Response:\")],\n", |
|
" flagging_mode=\"never\"\n", |
|
")\n", |
|
"view.launch()" |
|
] |
|
} |
|
], |
|
"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 |
|
}
|
|
|