run.ipynb

{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: chatbot_streaming"]}, {"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 user(user_message, history):\n", "        return gr.update(value=\"\", interactive=False), history + [[user_message, None]]\n", "\n", "    def bot(history):\n", "        bot_message = random.choice([\"How are you?\", \"I love you\", \"I'm very hungry\"])\n", "        history[-1][1] = \"\"\n", "        for character in bot_message:\n", "            history[-1][1] += character\n", "            time.sleep(0.05)\n", "            yield history\n", "\n", "    response = msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(\n", "        bot, chatbot, chatbot\n", "    )\n", "    response.then(lambda: gr.update(interactive=True), None, [msg], queue=False)\n", "\n", "demo.queue()\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}