{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b71a1322",
   "metadata": {},
   "source": [
    "# Get started with `tanaos-sentiment-analysis-v1`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "469712c1",
   "metadata": {},
   "source": [
    "## Option 1 - Use through the [Artifex library](https://github.com/tanaos/artifex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c4bfa886",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "!pip install artifex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a8f8ec7",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "from artifex import Artifex\n",
    "\n",
    "sa = Artifex().sentiment_analysis\n",
    "\n",
    "very_positive_label = sa(\"It was exceptional. One of the best meals I have ever had.\")\n",
    "very_negative_label = sa(\"The movie was just awful and painfully predictable.\")\n",
    "\n",
    "print(very_positive_label)\n",
    "print(very_negative_label)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afcc6d57",
   "metadata": {},
   "source": [
    "## Option 2 - Use through the Transformers library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff2b44c9",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "!pip install transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae5368d6",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "from transformers import pipeline\n",
    "\n",
    "clf = pipeline(\"text-classification\", model=\"tanaos/tanaos-sentiment-analysis-v1\")\n",
    "\n",
    "very_positive_label = clf(\"It was exceptional. One of the best meals I have ever had.\")\n",
    "very_negative_label = clf(\"The movie was just awful and painfully predictable.\")\n",
    "\n",
    "print(very_positive_label)\n",
    "print(very_negative_label)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}