File size: 1,115 Bytes
0bd62e5 |
1 |
{"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()\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?\", \"I love you\", \"I'm very hungry\"])\n", " chat_history.append((message, 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} |