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ed-donner committed Feb 10, 2025
2 parents d7834d0 + fccb607 commit 289a1b9
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256 changes: 256 additions & 0 deletions week1/community-contributions/day-1-ollama-app.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Import tkinter and ollama to create the app"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"import ollama\n",
"import tkinter as tk\n",
"from tkinter import ttk"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Basic configuration parameters for the Ollama API:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"OLLAMA_API = \"http://localhost:11434/api/chat\"\n",
"HEADERS = {\"Content-Type\":\"application/json\"}\n",
"MODEL = \"llama3.2\"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Initialize conversation history."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"conversation_history = []"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Defining the key presses. If user presses shit + enter then simply go to the next line. \n",
"\n",
"If user presses only enter then submit the question."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"def handle_keypress(event):\n",
" if event.state & 0x1: # Check if Shift is pressed\n",
" return\n",
" else:\n",
" display_answer()\n",
" return 'break'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Defining the function that will display answers using Ollama.\n",
"\n",
"\n",
"To turn it into a chatbot we simply append user's question and Ollama's response to our conversation history and pass that into Ollama as our next question."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"def display_answer(event=None):\n",
" question_text['state'] = 'disabled'\n",
" question_text['bg'] = '#F0F0F0'\n",
" status_label.config(text=\"Looking for an answer...\")\n",
" root.update()\n",
"\n",
" # Get question text and prepare message\n",
" question = question_text.get(\"1.0\", tk.END).strip()\n",
" if question:\n",
" # Append the user's question to the conversation history\n",
" conversation_history.append({\"role\": \"user\", \"content\": question})\n",
"\n",
" # Pass the entire conversation history to Ollama\n",
" try:\n",
" # Get the answer\n",
" response = ollama.chat(model=MODEL, messages=conversation_history)\n",
" answer = response[\"message\"][\"content\"]\n",
"\n",
" # Append the assistant's answer to the conversation history\n",
" conversation_history.append({\"role\": \"assistant\", \"content\": answer})\n",
"\n",
" # Update the text widget with the answer\n",
" answer_text.configure(state='normal')\n",
" answer_text.delete(1.0, tk.END)\n",
" answer_text.insert(tk.END, answer)\n",
" answer_text.configure(state='disabled')\n",
"\n",
" status_label.config(text=\"Answered\")\n",
" except Exception as e:\n",
" answer_text.configure(state='normal')\n",
" answer_text.delete(1.0, tk.END)\n",
" answer_text.insert(tk.END, f\"Error: {str(e)}\")\n",
" answer_text.configure(state='disabled')\n",
" status_label.config(text=\"Error\")\n",
" else:\n",
" # If empty question string was received\n",
" answer_text.configure(state='normal')\n",
" answer_text.delete(1.0, tk.END)\n",
" answer_text.insert(tk.END, \"Please enter a question.\")\n",
" answer_text.configure(state='disabled')\n",
" status_label.config(text=\"\")\n",
"\n",
" # Re-enable question input and restore normal background\n",
" question_text['state'] = 'normal'\n",
" question_text['bg'] = 'white'\n",
" root.update()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A button to remove the conversation history and start all over again."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def remove_all():\n",
" \"\"\"Clears the conversation history and resets the interface.\"\"\"\n",
" global conversation_history\n",
" conversation_history = [] # Clear conversation history\n",
"\n",
" # Reset text widgets\n",
" question_text.delete(1.0, tk.END)\n",
" answer_text.configure(state='normal')\n",
" answer_text.delete(1.0, tk.END)\n",
" answer_text.insert(tk.END, \"Your answer will appear here.\")\n",
" answer_text.configure(state='disabled')\n",
"\n",
" # Reset status label\n",
" status_label.config(text=\"\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Creating the app window using tkinter."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"# Create the main window\n",
"root = tk.Tk()\n",
"root.title(\"Ollama with GUI\")\n",
"root.geometry(\"500x800\")\n",
"\n",
"# Create and configure the Questions window\n",
"question_frame = ttk.LabelFrame(root, text=\"Questions\", padding=(10, 10))\n",
"question_frame.pack(fill=\"both\", expand=True, padx=10, pady=10)\n",
"\n",
"question_label = ttk.Label(question_frame, text=\"Enter your question:\")\n",
"question_label.pack(anchor=\"w\", pady=5)\n",
"\n",
"# Replace Entry with Text widget for questions\n",
"question_text = tk.Text(question_frame, wrap=tk.WORD, width=50, height=4)\n",
"question_text.pack(anchor=\"w\", pady=5)\n",
"question_text.bind(\"<Return>\", handle_keypress)\n",
"\n",
"# Add status label\n",
"status_label = ttk.Label(question_frame, text=\"\")\n",
"status_label.pack(anchor=\"w\", pady=5)\n",
"\n",
"# Add Remove All button\n",
"remove_all_button = ttk.Button(question_frame, text=\"Remove All\", command=remove_all)\n",
"remove_all_button.pack(anchor=\"e\", pady=5)\n",
"\n",
"# Create and configure the Answers window\n",
"answer_frame = ttk.LabelFrame(root, text=\"Answer\", padding=(10, 10))\n",
"answer_frame.pack(fill=\"both\", expand=True, padx=10, pady=10)\n",
"\n",
"# Create a frame to hold the text widget and scrollbar\n",
"text_frame = ttk.Frame(answer_frame)\n",
"text_frame.pack(fill=\"both\", expand=True)\n",
"\n",
"# Create the text widget and scrollbar\n",
"answer_text = tk.Text(text_frame, wrap=tk.WORD, width=70, height=100)\n",
"scrollbar = ttk.Scrollbar(text_frame, orient=\"vertical\", command=answer_text.yview)\n",
"answer_text.configure(yscrollcommand=scrollbar.set)\n",
"\n",
"# Pack the text widget and scrollbar\n",
"answer_text.pack(side=\"left\", fill=\"both\", expand=True)\n",
"scrollbar.pack(side=\"right\", fill=\"y\")\n",
"\n",
"# Set initial text and disable editing\n",
"answer_text.insert(tk.END, \"Your answer will appear here.\")\n",
"answer_text.configure(state='disabled')\n",
"\n",
"# Run the main event loop\n",
"root.mainloop()\n"
]
}
],
"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": 2
}
126 changes: 126 additions & 0 deletions week1/community-contributions/day01_email_subject_line_en-fr.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "d25b0aef-3e5e-4026-90ee-2b373bf262b7",
"metadata": {},
"outputs": [],
"source": [
"# Step 0: Import libraries and load environment variables\n",
"import os\n",
"from dotenv import load_dotenv\n",
"from IPython.display import Markdown, display\n",
"from openai import OpenAI\n",
"\n",
"load_dotenv(override=True)\n",
"api_key = os.getenv(\"OPENAI_API_KEY\")\n",
"\n",
"if not api_key:\n",
" print(\"No API key was found!\")\n",
"elif not api_key.startswith(\"sk-proj-\"):\n",
" print(\"An API key was found, but it does not start with 'sk-proj-'! Please ensure you are using the right key.\")\n",
"elif api_key.strip() != api_key:\n",
" print(\"An API key was found, but it looks like it might have space or tab characters at the start or end! Please remove them.\")\n",
"else:\n",
" print(\"API key found and looks good so far!\")\n",
"\n",
"# Step 1: Create prompts\n",
"print(\"[INFO] Creating system prompt ...\")\n",
"system_prompt = \"You are an assistant that analyzes the contents of \\\n",
" email texts and suggests short subject lines for the email based \\\n",
" on the requested tone and language. Respond in markdown.\"\n",
"\n",
"print(\"[INFO] Creating user prompt ...\")\n",
"user_prompt = \"\"\"\n",
" The text below is an e-mail text for which you are required to \\\n",
" provide subject lines. Please provide two snarky, two funny, and \\\n",
" two formal short subject lines for the email text. Each of the six \\\n",
" subject lines should be presented in both English and French \\\n",
" languages, making a total of 12 subject lines. Please provide your \\\n",
" answer in markdown.\\\n",
" \n",
" \\n\\n\n",
" \n",
" Welcome to arXiv!\n",
"\n",
" Thank you for creating an account and joining the arXiv community. We look\n",
" forward to receiving your contribution.\n",
"\n",
" Help Pages\n",
" An overview on how to navigate and use arXiv can be found here:\n",
" https://arxiv.org/help\n",
" https://arxiv.org/about\n",
"\n",
" If you would like to know more about the submission process, please go here:\n",
" https://arxiv.org/help/submit\n",
"\n",
" Before Submitting to arXiv\n",
" The arXiv.org e-print archive is fully automated and processes nearly\n",
" 1,000 new submissions per day. To help us keep the process running smoothly\n",
" and efficiently please check your submission carefully for mistakes, typos\n",
" and layout issues. Once you have submitted your work please check your account\n",
" frequently for verification messages and other communication from arXiv.\n",
"\n",
" Contacting arXiv\n",
" We have provided extensive help pages to guide you through the process and\n",
" to answer the most common questions. If you have problems with the submission\n",
" process please contact us here:\n",
" https://arxiv.org/help/contact\n",
" We aim to assist submitters within one business day, but during times of high\n",
" volume or maintenance work we may be slightly delayed in our response.\n",
"\n",
" Thank you for your cooperation.\n",
"\"\"\"\n",
"\n",
"# Step 2: Make messages list\n",
"print(\"[INFO] Making messages list ...\")\n",
"messages = [\n",
" {\"role\": \"system\", \"content\": system_prompt},\n",
" {\"role\": \"user\", \"content\": user_prompt}\n",
"]\n",
"\n",
"# Step 3: Call OpenAI\n",
"print(\"[INFO] Calling OpenAI ...\")\n",
"openai = OpenAI()\n",
"response = openai.chat.completions.create(\n",
" model=\"gpt-4o-mini\",\n",
" messages=messages\n",
" )\n",
"\n",
"# Step 4: Print result\n",
"print(\"[INFO] Print result ...\")\n",
"display(Markdown(response.choices[0].message.content))\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b0a6676e-fb43-4725-9389-2acd74c13c4e",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.12.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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