run.ipynb

{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: gpt_j_unified"]}, {"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", "\n", "component = gr.Textbox(lines=5, label=\"Text\")\n", "api = gr.Interface.load(\"huggingface/EleutherAI/gpt-j-6B\")\n", "\n", "demo = gr.Interface(\n", "    fn=lambda x: x[:-50] + api(x[-50:]),\n", "    inputs=component,\n", "    outputs=component,\n", "    title=\"GPT-J-6B\",\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}