gradio/demo/generate_english_german/run.ipynb

{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: generate_english_german"]}, {"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", "english_translator = gr.load(name=\"spaces/gradio/english_translator\")\n", "english_generator = pipeline(\"text-generation\", model=\"distilgpt2\")\n", "\n", "def generate_text(text):\n", "    english_text = english_generator(text)[0][\"generated_text\"]  # type: ignore\n", "    german_text = english_translator(english_text)\n", "    return english_text, german_text\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Row():\n", "        with gr.Column():\n", "            seed = gr.Text(label=\"Input Phrase\")\n", "        with gr.Column():\n", "            english = gr.Text(label=\"Generated English Text\")\n", "            german = gr.Text(label=\"Generated German Text\")\n", "    btn = gr.Button(\"Generate\")\n", "    btn.click(generate_text, inputs=[seed], outputs=[english, german])\n", "    gr.Examples([\"My name is Clara and I am\"], inputs=[seed])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}