run.ipynb

{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatinterface_prefill"]}, {"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", "\n", "def prefill_chatbot(choice):\n", "    if choice == \"Greeting\":\n", "        return [\n", "            {\"role\": \"user\", \"content\": \"Hi there!\"},\n", "            {\"role\": \"assistant\", \"content\": \"Hello! How can I assist you today?\"}\n", "        ]\n", "    elif choice == \"Complaint\":\n", "        return [\n", "            {\"role\": \"user\", \"content\": \"I'm not happy with the service.\"},\n", "            {\"role\": \"assistant\", \"content\": \"I'm sorry to hear that. Can you please tell me more about the issue?\"}\n", "        ]\n", "    else:\n", "        return []\n", "\n", "def random_response(message, history):\n", "    return random.choice([\"Yes\", \"No\"])\n", "\n", "with gr.Blocks() as demo:\n", "    radio = gr.Radio([\"Greeting\", \"Complaint\", \"Blank\"])\n", "    chat = gr.ChatInterface(random_response, api_name=\"chat\")\n", "    radio.change(prefill_chatbot, radio, chat.chatbot_value)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}