diff --git a/week2/community-contributions/taskmanagement/TaskManagement.ipynb b/week2/community-contributions/taskmanagement/TaskManagement.ipynb new file mode 100644 index 0000000..399b529 --- /dev/null +++ b/week2/community-contributions/taskmanagement/TaskManagement.ipynb @@ -0,0 +1,346 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "authorship_tag": "ABX9TyMlDthhM8w5NIUNYffwmHfr", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "id": "GM-U1_ArmVFO" + }, + "outputs": [], + "source": [ + "!pip install -q gradio>=4.0.0" + ] + }, + { + "cell_type": "code", + "source": [ + "import gradio as gr\n", + "import openai\n", + "import json\n", + "import html\n", + "from openai import OpenAI\n", + "import random\n", + "import datetime\n", + "from google.colab import userdata" + ], + "metadata": { + "id": "FciiJrKSmfOV" + }, + "execution_count": 8, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "api_key = userdata.get('OPENAI_API_KEY')\n", + "client = OpenAI(api_key=api_key)\n", + "model = \"gpt-4.1-mini\"" + ], + "metadata": { + "id": "7fPLICmznVur" + }, + "execution_count": 24, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "def abcd_taskTool():\n", + " tasks = [\n", + " {\"taskId\": \"T001\", \"accNo\": \"1234567890\", \"status\": \"Pending\", \"description\": \"Update account details\"},\n", + " {\"taskId\": \"T002\", \"accNo\": \"9876543210\", \"status\": \"In Progress\", \"description\": \"Verify transaction\"}\n", + " ]\n", + "\n", + " probability_of_tasks = 0.8\n", + " if random.random() < probability_of_tasks:\n", + " return tasks\n", + " else:\n", + " return []" + ], + "metadata": { + "id": "zyXLchykmoW_" + }, + "execution_count": 35, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "def abcd_NotifyTool():\n", + " # Mock notification function\n", + " return True" + ], + "metadata": { + "id": "h4J8HOOJm78X" + }, + "execution_count": 11, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Tool definitions for OpenAI\n", + "tools = [\n", + " {\n", + " \"type\": \"function\",\n", + " \"function\": {\n", + " \"name\": \"abcd_taskTool\",\n", + " \"description\": \"Retrieve a list of ABCD tasks.\",\n", + " \"parameters\": {}\n", + " }\n", + " },\n", + " {\n", + " \"type\": \"function\",\n", + " \"function\": {\n", + " \"name\": \"abcd_NotifyTool\",\n", + " \"description\": \"Notify the support team about tasks.\",\n", + " \"parameters\": {}\n", + " }\n", + " }\n", + "]" + ], + "metadata": { + "id": "KOtTI6PunNJ7" + }, + "execution_count": 12, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Function to mask first four digits of accNo\n", + "def mask_accNo(accNo):\n", + " return \"****\" + accNo[4:] if len(accNo) >= 4 else accNo" + ], + "metadata": { + "id": "p7wU9CRBnTAS" + }, + "execution_count": 13, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Function to format tasks as an HTML table\n", + "def format_tasks_as_table(tasks):\n", + " if not tasks:\n", + " return \"No tasks found.\"\n", + "\n", + " table = \"\"\n", + " table += \"\"\n", + " for task in tasks:\n", + " table += \"\"\n", + " table += f\"\"\n", + " table += f\"\"\n", + " table += f\"\"\n", + " table += f\"\"\n", + " table += \"\"\n", + " table += \"
Task IDAccount NumberStatusDescription
{html.escape(task.get('taskId', ''))}{html.escape(mask_accNo(task.get('accNo', '')))}{html.escape(task.get('status', ''))}{html.escape(task.get('description', ''))}
\"\n", + " return table" + ], + "metadata": { + "id": "b4GLrDLyntA7" + }, + "execution_count": 14, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Chat function to handle user input and bot responses with tool calling\n", + "def chat_function(message, history):\n", + " # Append user message to history\n", + " print(f\"User message: {message}\")\n", + "\n", + " history.append([message, None])\n", + " print(f\"History: {history}\")\n", + "\n", + " # Prepare messages for OpenAI API\n", + " messages = [{\"role\": \"system\", \"content\": (\n", + " \"You are a helpful assistant. When the user asks about checking ABCD tasks, call the abcd_taskTool function. \"\n", + " \"If tasks are returned, ask the user if they want to notify the support team. \"\n", + " \"If the user agrees to notify, call the abcd_NotifyTool function. \"\n", + " \"If no tasks are found, respond with a cheerful message. \"\n", + " \"If the user declines notification, respond creatively.\"\n", + " )}]\n", + " for user_msg, bot_msg in history[:-1]:\n", + " if user_msg:\n", + " messages.append({\"role\": \"user\", \"content\": user_msg})\n", + " if bot_msg:\n", + " messages.append({\"role\": \"assistant\", \"content\": bot_msg})\n", + " messages.append({\"role\": \"user\", \"content\": message})\n", + "\n", + " # Handle state for notification response\n", + " state = history[-2][1] if len(history) > 1 else None\n", + " if state and \"Would you like to notify the support team?\" in state:\n", + " if message.lower() in [\"yes\", \"y\", \"yeah\", \"sure\", \"ok\", \"notify\", \"yep\"]:\n", + " # Simulate tool call for notification\n", + " notify_result = abcd_NotifyTool()\n", + " response = \"The support team has been notified successfully! They'll take it from here. 😊\"\n", + " history[-1][1] = response\n", + " yield history, \"normal\", \"\"\n", + " return\n", + " else:\n", + " response = (\n", + " \"Alright, we'll hold off on notifying the team. 🌟 \"\n", + " \"How about we explore something fun, like planning your next big adventure?\"\n", + " )\n", + " history[-1][1] = response\n", + " yield history, \"normal\", \"\"\n", + " return\n", + "\n", + " try:\n", + " # Call OpenAI API with tool calling\n", + " response = client.chat.completions.create(\n", + " model= model,\n", + " messages=messages,\n", + " tools=tools,\n", + " tool_choice=\"auto\",\n", + " max_tokens=300\n", + " )\n", + "\n", + " # Process response\n", + " response_message = response.choices[0].message\n", + " tool_calls = response_message.tool_calls\n", + "\n", + " if tool_calls:\n", + " for tool_call in tool_calls:\n", + " function_name = tool_call.function.name\n", + " if function_name == \"abcd_taskTool\":\n", + " tasks = abcd_taskTool()\n", + " task_count = len(tasks)\n", + "\n", + " if task_count > 0:\n", + " table = format_tasks_as_table(tasks)\n", + " response = (\n", + " f\"There are {task_count} tasks found:
{table}
\"\n", + " \"Would you like to notify the support team? (Yes/No)\"\n", + " )\n", + " history[-1][1] = response\n", + " print(f\"History after tool call: {history}\")\n", + " print(f\"History at -1, 1: {history[-1][1]}\")\n", + " yield history, \"waiting_for_notify_response\", \"\"\n", + " else:\n", + " response = (\n", + " \"Hooray! No ABCD tasks to worry about! 🎈 \"\n", + " \"You're free as a birdβ€”any fun plans for the day?\"\n", + " )\n", + " history[-1][1] = response\n", + " yield history, \"normal\", \"\"\n", + " elif function_name == \"abcd_NotifyTool\":\n", + " abcd_NotifyTool()\n", + " response = \"The support team has been notified successfully! They'll take it from here. 😊\"\n", + " history[-1][1] = response\n", + " yield history, \"normal\", \"\"\n", + " else:\n", + " # No tool calls, use the LLM's response\n", + " bot_response = response_message.content\n", + " history[-1][1] = bot_response\n", + " yield history, \"normal\", \"\"\n", + "\n", + " except Exception as e:\n", + " history[-1][1] = f\"Error: {str(e)}\"\n", + " yield history, \"normal\", \"\"" + ], + "metadata": { + "id": "m9MN8vFDnwsA" + }, + "execution_count": 48, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Custom CSS for table and chat styling\n", + "custom_css = \"\"\"\n", + "table {\n", + " font-family: Arial, sans-serif;\n", + " margin: 10px 0;\n", + "}\n", + "th, td {\n", + " padding: 8px;\n", + " text-align: left;\n", + "}\n", + "th {\n", + " background-color: #f2f2f2;\n", + "}\n", + "tr:nth-child(even) {\n", + " background-color: #f9f9f9;\n", + "}\n", + "\"\"\"" + ], + "metadata": { + "id": "X3Egf6jAn3uP" + }, + "execution_count": 31, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Create Gradio interface\n", + "with gr.Blocks(css=custom_css) as demo:\n", + " chatbot = gr.Chatbot()\n", + " msg = gr.Textbox(placeholder=\"Type your message here...\")\n", + " state = gr.State(value=\"normal\")\n", + "\n", + " msg.submit(\n", + " chat_function,\n", + " inputs=[msg, chatbot],\n", + " outputs=[chatbot, state, msg]\n", + " )" + ], + "metadata": { + "id": "g9ctQlBOoDvi" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "demo.launch(debug=True, share=True)" + ], + "metadata": { + "id": "DG5gjlXloHhj" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "GiWUiQNJxPSq" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/week2/community-contributions/taskmanagement/readme.md b/week2/community-contributions/taskmanagement/readme.md new file mode 100644 index 0000000..724a0c5 --- /dev/null +++ b/week2/community-contributions/taskmanagement/readme.md @@ -0,0 +1,13 @@ +This code implements a Gradio chat application that integrates with OpenAI models for the chat functionality, with special handling for ABCD tasks. + +# Main Features +1. **General Chat**: Use OpenAI's GPT to handle normal conversation. +2. **Task Checking**: When users mention "check ABCD tasks" (or similar phrases), the app calls the abcd_taskTool() function. +3. **Account Number Masking**: Masks the first four digits of account number with "XXXX". +4. **Task Display**: in HTML table. +5. **Support Notification**: Offers to notify support team and calls abcd_NotifyTool() if user confirms. +6. **Cheerful Responses**: Provides rando encouraging messages when no tasks are found. + +## Screenshot +![Chat1](https://github.com/sngo/llms-practice/blob/main/taskmanagement/chat1.png) +![Chat2](https://github.com/sngo/llms-practice/blob/main/taskmanagement/chat2.png)