purgatorio_translate_ES.ipynb

{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26740,"status":"ok","timestamp":1676800190939,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"},"user_tz":-60},"id":"wZQhdFroLMqQ","outputId":"a795db33-30b2-462c-d4c4-45e88e9b4eec"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting transformers\n","  Downloading transformers-4.26.1-py3-none-any.whl (6.3 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.3/6.3 MB\u001b[0m \u001b[31m42.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (2022.6.2)\n","Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.8/dist-packages (from 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tokenizers-0.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m70.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub<1.0,>=0.11.0->transformers) (4.5.0)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2.10)\n","Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (1.24.3)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2022.12.7)\n","Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (4.0.0)\n","Installing collected packages: tokenizers, huggingface-hub, transformers\n","Successfully installed huggingface-hub-0.12.1 tokenizers-0.13.2 transformers-4.26.1\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting sacrebleu\n","  Downloading sacrebleu-2.3.1-py3-none-any.whl (118 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m118.9/118.9 KB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting sentencepiece\n","  Downloading sentencepiece-0.1.97-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m24.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting portalocker\n","  Downloading portalocker-2.7.0-py2.py3-none-any.whl (15 kB)\n","Requirement already satisfied: regex in /usr/local/lib/python3.8/dist-packages (from 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in /usr/local/lib/python3.8/dist-packages (from huggingface_hub) (3.9.0)\n","Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface_hub) (4.5.0)\n","Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.8/dist-packages (from huggingface_hub) (4.64.1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from huggingface_hub) (2.25.1)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from huggingface_hub) (6.0)\n","Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface_hub) (1.24.3)\n","Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface_hub) (4.0.0)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface_hub) (2022.12.7)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface_hub) (2.10)\n"]}],"source":["!pip install transformers\n","!pip install sacrebleu sentencepiece\n","!pip install huggingface_hub"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":53906,"status":"ok","timestamp":1676800244825,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"},"user_tz":-60},"id":"0cZ0Q0PD7LCg","outputId":"9fe45128-a9c2-42ae-8da1-9cc062dc4d99"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"1di4IIND7mV3","executionInfo":{"status":"ok","timestamp":1676800253579,"user_tz":-60,"elapsed":8762,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"}}},"outputs":[],"source":["import os\n","import re\n","import glob\n","import pandas as pd\n","\n","from huggingface_hub import notebook_login\n","from transformers import pipeline"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":303,"referenced_widgets":["02d0f45d3622437389644d2203ab4718","452a8f348dd84fba8ec4f5706616206f","4a9bf9fe743c4638aa88e81acbbfb6bc","b717de78b45d4226b66e9770d0379673","992f47bb61564103b47fbf1faea754d2","53dc339ba690452f803d485fc1416714","a35f80c93fbf43eabee7599cdacd073a","07c4ed192f9746f38c67d23bf3208e1e","a34dabed4ba045089c59f24959e50983","f414c639f59e493e85351f5594111d90","6b3f33c06ca4405c99bf22bc3ae11ea6","d6eae65ee49b476589b4f93d076dfcba","c479327827d54f7ab6a8684fd0f3868c","361a6fb990dd43e5a9442b37cf7defbf","20f91d16048a48c49035316a1c166c24","3508ba8b6c284dc0b495c845ee1ab16e","0781fb0204d94ded9b6e03cfa795df68"]},"executionInfo":{"elapsed":19,"status":"ok","timestamp":1676800253583,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"},"user_tz":-60},"id":"Ex-C4ySPLV_H","outputId":"f6b589b7-0190-45d0-82c4-f420ec799c5b"},"outputs":[{"output_type":"stream","name":"stdout","text":["Token is valid.\n","Your token has been saved in your configured git credential helpers (store).\n","Your token has been saved to /root/.cache/huggingface/token\n","Login successful\n"]}],"source":["notebook_login()"]},{"cell_type":"markdown","metadata":{"id":"v09o666ELfMO"},"source":["## Traduzione\n","\n","Configuro modelli HuggingFace per la traduzione da Inglese a Italiano"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":276,"referenced_widgets":["e8670c0083544daa9854a816cb9b31c3","9a4adb60b66a47f2a93cbbfd13076e3d","38c7e2a039864ea1a3a3f1a8632a0947","5f754b15e47641f0a2da2879ac76a529","23c8d4ad3b88485b88a48ba6ab4861df","5aba16dd841e4c3896e17c50fd3dc6b7","cbb75394418c40ccace0f498d5c8251e","f8410b8b41254654a849a57aec846e9e","87a8ca1820374511a690309f333d972b","d2798b3a81374da7a829d956d993f09a","e99e677832ab4bc0a0296fd5a2524945","e93b3fe0d2014d28a22ac7f1d671b6b7","ed536694336d4d668b71100cb1fdb046","43f540eb85da4fbda24329efc5b0715a","f685dbeeb43a4b28a9574233d3f5ce98","80b8f30292954bf78d455acdcc263640","e0cb9a521f84435cadc75a07c44589bd","797afdc7c924406ea361a0f859bca3f6","a61bf93077034640a568078f93280a2c","cac0d600c43f478ea94b7f4dfb73fe21","3a9e8a77028b465dba18c2872bd73a12","7b01b74833fb4fff8a0531b31dbd0c69","94f7741ef50c4de6aff516701dd8497e","a1498beaba514708a2822e762cc90380","080ca51992ad473b86565be6352a35be","6f7f81ffc4d146cfb71e116700e3b640","7259fb4f1fe9479b99ad87774a4cca13","0541c0501b3d454b837eceab095ec8c5","334b2fce3c014360997d65c30e5c9ba7","952a1c9075004f7bbe0919f7e827ebc5","1156ba838af14adcb8c1c7c36365b6bf","bea21b30d3104316aa4da86c419f87d8","7387229c34274a36a5d721c02b94337b","9e10d2e877c94c6d853c76328ef96c5b","96d0cab3ffc040bba75c6602f6a56a5a","e9631379a71b4e09a211083ad2d22f53","da1043e441054e92badcb2f57ab0aa74","d557a789360e4daba296ca42aa02a81f","d2e8d31faa944fc59b9d5dd5851f3da0","70a6ffe06b2e45daa07588c5e32633c7","8d4ff20803d547418c883a6494a021f7","3e061c5c3fe44657876b3b4e2e913942","8f7641dbae484ac39ff8ab42571816c5","a00e0b7281d148049700f891089da328","cba7e342bb9c499cba0bc419e0c1599c","abdc85e5473e454dbac2c0189180aef4","b0181939916b4fd28d38b2bef46d3dbb","fea7d993bff0431aa071e7100ffdd0c5","2b3843df7616424bbdaba78daec38919","daf2935859d1458a95f33ec73b412bf8","17b53b7e4ae14b76ab2903082bd947c9","cb17757167634a3ab4b19245198fc95f","406506aeb5c142d5a604cc8379910176","4a581e5d8bd44fa19a721e64fdf32302","cc22b60de93e4b37b942c6c0e1cf9e34","894d85fe501b4b27aeee55c71ad848ad","4ace34e22f8f4ec7a9e55a9b3c743cdf","3cdcf02863364c6dac62fe2859fae0b2","42ee1bfd0b8349eaa517f4b0d5ae9338","8f9969623a2348da8f22df2af7ca07e6","f1d0097c1f694ac586785eb48c954895","c7e2e47461b34f8db9a981d1c029530f","27bf5d0631264bf9b53c53c914fdf738","2f81a689a43048d0be9e39f81a072874","2469fc8f09374160b2c935063ecb2755","cde673d6ad5e44dfa034ad26b59c9305","7923390d50114829a70f36185257bd3b","2f031e15f2e84bc48bcdbcd7f758eff2","a7ba692e461043fc941bf42ae6f27c3a","196e93eacdd94366a70fc9e0007a3a6e","29e210f2813d4347b134d757045db33b","0093ccb8b17d47acae9c40d597a6f4ae","5dd292b04c1f4abfb011864967d3dc13","58a0c9f240bb41bd86a6b9b5ec2ab9bc","b824563bd5ce427a9ae20ffd8a8d4511","f8e95894fb964d239bd6877594bbbbba","351e086badb24708ae17449a0d90b4ea"]},"executionInfo":{"elapsed":8490,"status":"ok","timestamp":1676800268420,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"},"user_tz":-60},"id":"lQ-U9jlfLrEf","outputId":"307ea975-9707-42e5-e09b-032a4b1544ee"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (…)lve/main/config.json:   0%|          | 0.00/1.38k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"e8670c0083544daa9854a816cb9b31c3"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)\"pytorch_model.bin\";:   0%|          | 0.00/300M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"e93b3fe0d2014d28a22ac7f1d671b6b7"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)neration_config.json:   0%|          | 0.00/293 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"94f7741ef50c4de6aff516701dd8497e"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)okenizer_config.json:   0%|          | 0.00/42.0 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"9e10d2e877c94c6d853c76328ef96c5b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)olve/main/source.spm:   0%|          | 0.00/813k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"cba7e342bb9c499cba0bc419e0c1599c"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)olve/main/target.spm:   0%|          | 0.00/819k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"894d85fe501b4b27aeee55c71ad848ad"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)olve/main/vocab.json:   0%|          | 0.00/1.42M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"7923390d50114829a70f36185257bd3b"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/transformers/models/marian/tokenization_marian.py:194: UserWarning: Recommended: pip install sacremoses.\n","  warnings.warn(\"Recommended: pip install sacremoses.\")\n"]}],"source":["# Modello Traduzione Inglese-Italiano\n","en_model_checkpoint = \"Helsinki-NLP/opus-mt-it-es\"\n","translator_en = pipeline(\"translation\", model=en_model_checkpoint)"]},{"cell_type":"markdown","metadata":{"id":"73sbBzp5LubR"},"source":["### Configuro Classe per la traduzione"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"QKwlZgR3Ls7V","executionInfo":{"status":"ok","timestamp":1676800268663,"user_tz":-60,"elapsed":14,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"}}},"outputs":[],"source":["class Translate:\n","  def __init__(self,\n","               orig_filenamepath, \n","               trad_filenamepath, \n","               translator_en):\n","    \n","    self.orig_filenamepath = orig_filenamepath\n","    self.trad_filenamepath = trad_filenamepath\n","\n","    self.translator_en = translator_en\n","\n","  def text_cleaning(self, text):\n","    text = re.sub('\\([^)]*\\)', '', text)\n","\n","    return text\n","\n","  def translate(self):\n","    df_trad = pd.DataFrame(columns=['Original', 'Translate'])\n","\n","    df_orig = pd.read_csv(self.orig_filenamepath)\n","\n","    trad_en_1 = self.translator_en([self.text_cleaning(text) for text in df_orig['Translate']])\n","\n","    df_trad['Original'] = df_orig['Original']\n","    df_trad['Translate'] = [text['translation_text'] for text in trad_en_1[:]]\n","\n","    df_trad.to_csv(self.trad_filenamepath, index=False, encoding='utf-8')"]},{"cell_type":"markdown","metadata":{"id":"CvrV60A-7jNi"},"source":["### Traduzione"]},{"cell_type":"code","execution_count":7,"metadata":{"id":"bRPMHKtP7bao","executionInfo":{"status":"ok","timestamp":1676800268664,"user_tz":-60,"elapsed":14,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"}}},"outputs":[],"source":["# PARAMETRI GLOBALI\n","root_folder = 'drive/MyDrive/Traduzione_Dantesca/Data_Translate/'\n","\n","# DATI\n","data_folder_name_originale = 'data'\n","filename_originale_1 = 'purgatorio_v2.csv'\n","filename_originale_2 = 'purgatorio_gpt.csv'\n","\n","data_folder_name_traduzione = 'data_out'\n","filenamepath_traduzione_1 = 'purgatorio_it_es.csv'\n","filenamepath_traduzione_2 = 'purgatorio_gpt_it_es.csv'\n","\n","DATA_PATH_ORIGINAL = os.path.abspath(os.path.join(root_folder, data_folder_name_originale))\n","orig_filenamepath_1 = os.path.abspath(os.path.join(DATA_PATH_ORIGINAL, filename_originale_1))\n","orig_filenamepath_2 = os.path.abspath(os.path.join(DATA_PATH_ORIGINAL, filename_originale_2))\n","\n","DATA_PATH_TRANSLATE = os.path.abspath(os.path.join(root_folder, data_folder_name_traduzione))\n","trad_filenamepath_1 = os.path.abspath(os.path.join(DATA_PATH_TRANSLATE, filenamepath_traduzione_1))\n","trad_filenamepath_2 = os.path.abspath(os.path.join(DATA_PATH_TRANSLATE, filenamepath_traduzione_2))"]},{"cell_type":"code","execution_count":8,"metadata":{"id":"vhnE8mSHVVKn","executionInfo":{"status":"ok","timestamp":1676806046234,"user_tz":-60,"elapsed":5777583,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"}}},"outputs":[],"source":["translate_purgatorio = Translate(orig_filenamepath=orig_filenamepath_1,\n","                                trad_filenamepath=trad_filenamepath_1,\n","                                translator_en=translator_en)\n","\n","translate_purgatorio.translate()"]},{"cell_type":"code","execution_count":9,"metadata":{"id":"GaLi46iN4csC","executionInfo":{"status":"ok","timestamp":1676811977428,"user_tz":-60,"elapsed":5931199,"user":{"displayName":"Daniele Badiali","userId":"14842026096794501907"}}},"outputs":[],"source":["translate_purgatorio = Translate(orig_filenamepath=orig_filenamepath_2,\n","                                trad_filenamepath=trad_filenamepath_2,\n","                                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