{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_simple"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import random\n", "import time\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot(type=\"messages\")\n", "    msg = gr.Textbox()\n", "    clear = gr.ClearButton([msg, chatbot])\n", "\n", "    def respond(message, chat_history):\n", "        bot_message = random.choice([\"How are you?\", \"Today is a great day\", \"I'm very hungry\"])\n", "        chat_history.append({\"role\": \"user\", \"content\": message})\n", "        chat_history.append({\"role\": \"assistant\", \"content\": bot_message})\n", "        time.sleep(2)\n", "        return \"\", chat_history\n", "\n", "    msg.submit(respond, [msg, chatbot], [msg, chatbot])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}