{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Xây dựng bản demo đầu tiên của bạn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Install the Transformers, Datasets, and Evaluate libraries to run this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install datasets evaluate transformers[sentencepiece]\n",
    "!pip install gradio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr\n",
    "\n",
    "\n",
    "def greet(name):\n",
    "    return \"Hello \" + name\n",
    "\n",
    "\n",
    "demo = gr.Interface(fn=greet, inputs=\"text\", outputs=\"text\")\n",
    "\n",
    "demo.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr\n",
    "\n",
    "\n",
    "def greet(name):\n",
    "    return \"Hello \" + name\n",
    "\n",
    "\n",
    "# Chúng tôi khởi tạo lớp Textbox\n",
    "textbox = gr.Textbox(label=\"Type your name here:\", placeholder=\"John Doe\", lines=2)\n",
    "\n",
    "gr.Interface(fn=greet, inputs=textbox, outputs=\"text\").launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import pipeline\n",
    "\n",
    "model = pipeline(\"text-generation\")\n",
    "\n",
    "\n",
    "def predict(prompt):\n",
    "    completion = model(prompt)[0][\"generated_text\"]\n",
    "    return completion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr\n",
    "\n",
    "gr.Interface(fn=predict, inputs=\"text\", outputs=\"text\").launch()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "name": "Xây dựng bản demo đầu tiên của bạn",
   "provenance": []
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}