{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: english_translator"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio transformers torch"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from transformers import pipeline\n", "\n", "pipe = pipeline(\"translation\", model=\"t5-base\")\n", "\n", "\n", "def translate(text):\n", "    return pipe(text)[0][\"translation_text\"]\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Row():\n", "        with gr.Column():\n", "            english = gr.Textbox(label=\"English text\")\n", "            translate_btn = gr.Button(value=\"Translate\")\n", "        with gr.Column():\n", "            german = gr.Textbox(label=\"German Text\")\n", "\n", "    translate_btn.click(translate, inputs=english, outputs=german, api_name=\"translate-to-german\")\n", "    examples = gr.Examples(examples=[\"I went to the supermarket yesterday.\", \"Helen is a good swimmer.\"],\n", "                           inputs=[english])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}