{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from utils import Callable_tokenizer, preprocess_en\n",
    "from models import Seq2seq_with_attention, Encoder, Decoder, Attention\n",
    "\n",
    "device = 'cuda' if torch.cuda.is_available() else 'cpu'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "seq2seq_with_attention = torch.load(\"./seq2seq_with_attention_df-CoVoST2_df-opus_seed-123_subword.bin\", map_location=device, weights_only=False)\n",
    "\n",
    "en_sp = Callable_tokenizer('./tokenizers/NEW_en_vocab_df-CoVoST2_df-opus_seed-123_vocab-16K_FULL.model')\n",
    "ar_sp = Callable_tokenizer('./tokenizers/NEW_ar_vocab_df-CoVoST2_df-opus_seed-123_vocab-32K_FULL.model')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "how are you? : كيف حالك حالك\n",
      "he is a good boy. : فتى ولد طيب\n",
      "she is a good girl. : فتاه فتاه فتاه\n",
      "who is a better? : افضل افضل افضل\n"
     ]
    }
   ],
   "source": [
    "# custom_test = 'how are you?'\n",
    "custom_tests = ['how are you?', 'he is a good boy.', 'she is a good girl.', 'who is a better?']\n",
    "for custom_test in custom_tests:\n",
    "    preprocessed = preprocess_en(custom_test)\n",
    "    # print(preprocessed)\n",
    "\n",
    "    en_tokens = torch.tensor(en_sp.user_tokenization(preprocessed)).unsqueeze(0).to(device)\n",
    "    # print(en_tokens)\n",
    "\n",
    "    maxtries = 30\n",
    "    targets_hat = seq2seq_with_attention.translate(en_tokens, maxtries)\n",
    "    # print(targets_hat)\n",
    "    print(custom_test, ':', ar_sp.decode(targets_hat[1:-1]))"
   ]
  }
 ],
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