From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
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148 lines
4.8 KiB
148 lines
4.8 KiB
{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "87c2da09-bd0c-4683-828b-4f7643018795", |
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"metadata": {}, |
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"source": [ |
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"# Community contribution\n", |
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"\n", |
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"Implementing simple ChatGPT interface to maintain conversation and context with sleected 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": 26, |
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"id": "77a850ed-61f8-4a0d-9c41-45781eb60bc9", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"name": "stdout", |
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"output_type": "stream", |
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"text": [ |
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"API key looks good so far\n" |
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] |
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} |
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], |
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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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"import ipywidgets as widgets\n", |
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"from IPython.display import Markdown, display, update_display, clear_output\n", |
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"from openai import OpenAI\n", |
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"\n", |
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"load_dotenv()\n", |
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"api_key = os.getenv('OPENAI_API_KEY')\n", |
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"\n", |
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"if api_key and api_key.startswith('sk-proj-') and len(api_key)>10:\n", |
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" print(\"API key looks good so far\")\n", |
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"else:\n", |
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" print(\"There might be a problem with your API key? Please visit the troubleshooting notebook!\")\n", |
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" \n", |
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"MODEL = 'gpt-4o-mini'\n" |
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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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"id": "1f7f16f0-6fec-4190-882a-3fe1f0e9704a", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"class ChatGPTInterface:\n", |
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" def __init__(self, api_key, model, system_message=\"You are a helpful assistant. You can format your responses using Markdown.\"):\n", |
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" self.openai = OpenAI(api_key=api_key)\n", |
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" self.model = model\n", |
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" self.conversation_history = [{\"role\": \"system\", \"content\": system_message}]\n", |
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"\n", |
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" self.chat_area = widgets.Output()\n", |
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" self.input_box = widgets.Text(placeholder=\"Enter your message here...\")\n", |
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" self.send_button = widgets.Button(description=\"Send\")\n", |
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" self.clear_button = widgets.Button(description=\"Clear\")\n", |
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"\n", |
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" self.send_button.on_click(self.send_message)\n", |
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" self.clear_button.on_click(self.clear_chat)\n", |
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"\n", |
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" self.layout = widgets.VBox([\n", |
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" self.chat_area,\n", |
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" widgets.HBox([self.input_box, self.send_button, self.clear_button])\n", |
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" ])\n", |
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"\n", |
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" def display(self):\n", |
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" display(self.layout)\n", |
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"\n", |
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" def send_message(self, _):\n", |
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" user_message = self.input_box.value.strip()\n", |
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" if user_message:\n", |
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" self.conversation_history.append({\"role\": \"user\", \"content\": user_message})\n", |
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" self.display_message(\"You\", user_message)\n", |
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" self.input_box.value = \"\"\n", |
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"\n", |
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" try:\n", |
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" response = self.openai.chat.completions.create(\n", |
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" model=self.model,\n", |
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" messages=self.conversation_history\n", |
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" )\n", |
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" assistant_message = response.choices[0].message.content.strip()\n", |
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" self.conversation_history.append({\"role\": \"assistant\", \"content\": assistant_message})\n", |
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" self.display_message(\"ChatGPT\", assistant_message)\n", |
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" except Exception as e:\n", |
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" self.display_message(\"Error\", str(e))\n", |
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"\n", |
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" def clear_chat(self, _):\n", |
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" self.conversation_history = [{\"role\": \"system\", \"content\": self.conversation_history[0][\"content\"]}]\n", |
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" self.chat_area.clear_output(wait=True)\n", |
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"\n", |
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" def display_message(self, sender, message):\n", |
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" self.chat_area.append_display_data(Markdown(f\"**{sender}:**\\n{message}\"))\n" |
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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": 28, |
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"id": "78287e42-8964-4da6-bd48-a7dffd0ce7dd", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"data": { |
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"application/vnd.jupyter.widget-view+json": { |
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"model_id": "54956535cb32419bbe38d2bee125992d", |
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"version_major": 2, |
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"version_minor": 0 |
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}, |
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"text/plain": [ |
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"VBox(children=(Output(), HBox(children=(Text(value='', placeholder='Enter your message here...'), Button(descr…" |
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] |
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}, |
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"metadata": {}, |
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"output_type": "display_data" |
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} |
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], |
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"source": [ |
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"chat_interface = ChatGPTInterface(api_key,MODEL)\n", |
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"chat_interface.display()" |
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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": "Python 3 (ipykernel)", |
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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": "3.11.9" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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}
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