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{"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(type=\"messages\")\n", " msg = gr.Textbox()\n", " clear = gr.Button(\"Clear\")\n", "\n", " def user(user_message, history: list):\n", " return \"\", history + [{\"role\": \"user\", \"content\": user_message}]\n", "\n", " def bot(history: list):\n", " bot_message = random.choice([\"How are you?\", \"I love you\", \"I'm very hungry\"])\n", " history.append({\"role\": \"assistant\", \"content\": \"\"})\n", " for character in bot_message:\n", " history[-1]['content'] += character\n", " time.sleep(0.05)\n", " yield history\n", "\n", " msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(\n", " bot, chatbot, chatbot\n", " )\n", " clear.click(lambda: None, None, chatbot, queue=False)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |