Merge pull request #114 from yui-maker/yui_idea
Tkinter and Gradio Code Projects (two very silly projects)
This commit is contained in:
Ed Donner
GitHub
256
week1/community-contributions/day-1-ollama-app.ipynb
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256
week1/community-contributions/day-1-ollama-app.ipynb
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{
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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 tkinter and ollama to create the app"
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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": 20,
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"metadata": {},
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"outputs": [],
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"source": [
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"import ollama\n",
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"import tkinter as tk\n",
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"from tkinter import ttk"
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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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"Basic configuration parameters for the Ollama API:"
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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": 21,
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"metadata": {},
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"outputs": [],
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"source": [
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"OLLAMA_API = \"http://localhost:11434/api/chat\"\n",
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"HEADERS = {\"Content-Type\":\"application/json\"}\n",
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"MODEL = \"llama3.2\"\n"
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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 conversation history."
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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": 22,
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"metadata": {},
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"outputs": [],
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"source": [
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"conversation_history = []"
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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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"Defining the key presses. If user presses shit + enter then simply go to the next line. \n",
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"\n",
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"If user presses only enter then submit the question."
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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": 23,
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"metadata": {},
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"outputs": [],
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"source": [
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"def handle_keypress(event):\n",
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" if event.state & 0x1: # Check if Shift is pressed\n",
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" return\n",
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" else:\n",
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" display_answer()\n",
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" return 'break'"
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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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"Defining the function that will display answers using Ollama.\n",
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"\n",
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"\n",
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"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."
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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": 24,
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"metadata": {},
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"outputs": [],
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"source": [
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"def display_answer(event=None):\n",
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" question_text['state'] = 'disabled'\n",
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" question_text['bg'] = '#F0F0F0'\n",
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" status_label.config(text=\"Looking for an answer...\")\n",
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" root.update()\n",
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"\n",
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" # Get question text and prepare message\n",
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" question = question_text.get(\"1.0\", tk.END).strip()\n",
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" if question:\n",
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" # Append the user's question to the conversation history\n",
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" conversation_history.append({\"role\": \"user\", \"content\": question})\n",
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"\n",
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" # Pass the entire conversation history to Ollama\n",
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" try:\n",
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" # Get the answer\n",
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" response = ollama.chat(model=MODEL, messages=conversation_history)\n",
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" answer = response[\"message\"][\"content\"]\n",
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"\n",
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" # Append the assistant's answer to the conversation history\n",
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" conversation_history.append({\"role\": \"assistant\", \"content\": answer})\n",
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"\n",
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" # Update the text widget with the answer\n",
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" answer_text.configure(state='normal')\n",
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" answer_text.delete(1.0, tk.END)\n",
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" answer_text.insert(tk.END, answer)\n",
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" answer_text.configure(state='disabled')\n",
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"\n",
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" status_label.config(text=\"Answered\")\n",
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" except Exception as e:\n",
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" answer_text.configure(state='normal')\n",
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" answer_text.delete(1.0, tk.END)\n",
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" answer_text.insert(tk.END, f\"Error: {str(e)}\")\n",
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" answer_text.configure(state='disabled')\n",
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" status_label.config(text=\"Error\")\n",
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" else:\n",
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" # If empty question string was received\n",
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" answer_text.configure(state='normal')\n",
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" answer_text.delete(1.0, tk.END)\n",
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" answer_text.insert(tk.END, \"Please enter a question.\")\n",
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" answer_text.configure(state='disabled')\n",
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" status_label.config(text=\"\")\n",
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"\n",
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" # Re-enable question input and restore normal background\n",
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" question_text['state'] = 'normal'\n",
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" question_text['bg'] = 'white'\n",
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" root.update()"
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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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"A button to remove the conversation history and start all over again."
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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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"def remove_all():\n",
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" \"\"\"Clears the conversation history and resets the interface.\"\"\"\n",
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" global conversation_history\n",
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" conversation_history = [] # Clear conversation history\n",
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"\n",
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" # Reset text widgets\n",
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" question_text.delete(1.0, tk.END)\n",
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" answer_text.configure(state='normal')\n",
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" answer_text.delete(1.0, tk.END)\n",
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" answer_text.insert(tk.END, \"Your answer will appear here.\")\n",
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" answer_text.configure(state='disabled')\n",
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"\n",
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" # Reset status label\n",
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" status_label.config(text=\"\")"
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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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"Creating the app window using tkinter."
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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": 18,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create the main window\n",
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"root = tk.Tk()\n",
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"root.title(\"Ollama with GUI\")\n",
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"root.geometry(\"500x800\")\n",
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"\n",
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"# Create and configure the Questions window\n",
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"question_frame = ttk.LabelFrame(root, text=\"Questions\", padding=(10, 10))\n",
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"question_frame.pack(fill=\"both\", expand=True, padx=10, pady=10)\n",
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"\n",
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"question_label = ttk.Label(question_frame, text=\"Enter your question:\")\n",
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"question_label.pack(anchor=\"w\", pady=5)\n",
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"\n",
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"# Replace Entry with Text widget for questions\n",
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"question_text = tk.Text(question_frame, wrap=tk.WORD, width=50, height=4)\n",
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"question_text.pack(anchor=\"w\", pady=5)\n",
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"question_text.bind(\"<Return>\", handle_keypress)\n",
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"\n",
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"# Add status label\n",
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"status_label = ttk.Label(question_frame, text=\"\")\n",
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"status_label.pack(anchor=\"w\", pady=5)\n",
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"\n",
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"# Add Remove All button\n",
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"remove_all_button = ttk.Button(question_frame, text=\"Remove All\", command=remove_all)\n",
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"remove_all_button.pack(anchor=\"e\", pady=5)\n",
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"\n",
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"# Create and configure the Answers window\n",
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"answer_frame = ttk.LabelFrame(root, text=\"Answer\", padding=(10, 10))\n",
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"answer_frame.pack(fill=\"both\", expand=True, padx=10, pady=10)\n",
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"\n",
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"# Create a frame to hold the text widget and scrollbar\n",
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"text_frame = ttk.Frame(answer_frame)\n",
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"text_frame.pack(fill=\"both\", expand=True)\n",
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"\n",
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"# Create the text widget and scrollbar\n",
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"answer_text = tk.Text(text_frame, wrap=tk.WORD, width=70, height=100)\n",
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"scrollbar = ttk.Scrollbar(text_frame, orient=\"vertical\", command=answer_text.yview)\n",
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"answer_text.configure(yscrollcommand=scrollbar.set)\n",
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"\n",
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"# Pack the text widget and scrollbar\n",
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"answer_text.pack(side=\"left\", fill=\"both\", expand=True)\n",
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"scrollbar.pack(side=\"right\", fill=\"y\")\n",
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"\n",
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"# Set initial text and disable editing\n",
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"answer_text.insert(tk.END, \"Your answer will appear here.\")\n",
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"answer_text.configure(state='disabled')\n",
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"\n",
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"# Run the main event loop\n",
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"root.mainloop()\n"
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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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182
week2/community-contributions/day3-gradio-auth.ipynb
Normal file
182
week2/community-contributions/day3-gradio-auth.ipynb
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{
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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": [
|
||||||
|
"Define the System Message"
|
||||||
|
]
|
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|
},
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|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 52,
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|
"metadata": {},
|
||||||
|
"outputs": [],
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||||||
|
"source": [
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||||||
|
"system_message = (\n",
|
||||||
|
" \"You are a helpful assistant, trying your best to answer every question as accurately as possible. \"\n",
|
||||||
|
" \"You are also free to say you do not know if you do not have the information to answer a question. \"\n",
|
||||||
|
" \"You always respond in markdown.\"\n",
|
||||||
|
")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"Define the Chat Function"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 53,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"def chat(message, history):\n",
|
||||||
|
" messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
|
||||||
|
"\n",
|
||||||
|
" stream = openai.chat.completions.create(model=MODEL, messages=messages, stream=True)\n",
|
||||||
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"\n",
|
||||||
|
" response = \"\"\n",
|
||||||
|
" for chunk in stream:\n",
|
||||||
|
" response += chunk.choices[0].delta.content or ''\n",
|
||||||
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" yield response"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"Create the Chat Interface"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 54,
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||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"demo = gr.ChatInterface(\n",
|
||||||
|
" fn=chat,\n",
|
||||||
|
" title=\"AI chatbot\",\n",
|
||||||
|
" description=\"Please login to use the chat interface\",\n",
|
||||||
|
" type='messages',\n",
|
||||||
|
")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"auth_data is a list of tuples, where each tuple contains a username and password."
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 55,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"auth_data = [(\"user_1\", \"password_1\"), (\"user_2\", \"password_2\"), (\"user_3\", \"password_3\")]"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"Add Authentication and Launch\n",
|
||||||
|
"\n",
|
||||||
|
"auth_message is the message displayed to users before accessing the interface."
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"demo.launch(share=True,\n",
|
||||||
|
" auth=auth_data,\n",
|
||||||
|
" auth_message=\"Please enter your credentials to access the chat interface\",\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
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user