run.ipynb

{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: test_chatinterface_examples"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_examples/eager_caching_examples_testcase.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_examples/multimodal_messages_examples_testcase.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_examples/multimodal_tuples_examples_testcase.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_examples/tuples_examples_testcase.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "def generate(\n", "    message: str,\n", "    chat_history: list[dict],\n", "):\n", "\n", "    output = \"\"\n", "    for character in message:\n", "        output += character\n", "        yield output\n", "\n", "\n", "demo = gr.ChatInterface(\n", "    fn=generate,\n", "    examples=[\n", "        [\"Hey\"],\n", "        [\"Can you explain briefly to me what is the Python programming language?\"],\n", "    ],\n", "    cache_examples=False,\n", "    type=\"messages\",\n", ")\n", "\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}