fiore_translate_DE.ipynb

{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":27719,"status":"ok","timestamp":1677535820626,"user":{"displayName":"Daniele Badiali","userId":"10202881816518872932"},"user_tz":-60},"id":"wZQhdFroLMqQ","outputId":"3ebe7da6-7894-42ce-991d-4c06cedb5aa5"},"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[31m46.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from transformers) (6.0)\n","Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.8/dist-packages (from transformers) 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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[31m2.9 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[31m24.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: tabulate>=0.8.9 in /usr/local/lib/python3.8/dist-packages (from sacrebleu) (0.8.10)\n","Requirement already satisfied: regex in /usr/local/lib/python3.8/dist-packages (from 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/usr/local/lib/python3.8/dist-packages (from huggingface_hub) (4.5.0)\n","Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.8/dist-packages (from huggingface_hub) (23.0)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from huggingface_hub) (2.25.1)\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: filelock in /usr/local/lib/python3.8/dist-packages (from huggingface_hub) (3.9.0)\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: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface_hub) (2.10)\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: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface_hub) (1.24.3)\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":18369,"status":"ok","timestamp":1677535838977,"user":{"displayName":"Daniele Badiali","userId":"10202881816518872932"},"user_tz":-60},"id":"0cZ0Q0PD7LCg","outputId":"62fec9e8-e42f-4c2a-897c-af65cacaf483"},"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":1677535847309,"user_tz":-60,"elapsed":8338,"user":{"displayName":"Daniele Badiali","userId":"10202881816518872932"}}},"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":["64e5ff3b40594338a7da0ae602d8c153","4917a83c5f1a4e6e8a954bd73361cb59","bc409dfda6d0482eb6f9682fe41755a7","a6c8aa54b86a4dbf808b50a0d15aacd6","14aafbb883c049e482f1aed0d3b7c544","143d244ffbaa4a129dbe0209ffe915cc","07c0adf0062b491cb38eae2cb4bf6cfd","68315d1a856f40ed91f1671a3ab7faff","82da5723002146339c8e8249b67e245c","a81e8bf5f15140efa1fe174ab41e09f9","3d168b9860434af891ad6ae0182efe1a","f664dbdc89d34163be4f609763a38de4","5f5a24f8340b4d5fbdf70b09bbb7f2ee","ee4baa43aa8b42b4b281adae932bff5c","da788da0cd434dd3a3219c88cdc71077","57c3c4ef7acd49afb8cd78f920cec7fa","b8fd51150d104725adf420177abc94b0"]},"executionInfo":{"elapsed":63,"status":"ok","timestamp":1677535847311,"user":{"displayName":"Daniele Badiali","userId":"10202881816518872932"},"user_tz":-60},"id":"Ex-C4ySPLV_H","outputId":"d69ab788-7875-468f-9bfa-9b792ddb307b"},"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":["049bc8e8cc2845b6adedbf7534f46be4","5495377382424f9aa263e910a663c76b","eca7a2d5c6164dab9efd48b63b12d524","7a3ba6e8f54c45929a615e393a627123","9fb5226fb0d54151a49c6ec2ed9cab39","abf27c3200eb480399f6ac953e01b54e","7dc1c590afbc47afbeb794ac7ad0b090","3a61b51476914da29b3a2a4d0fe1356b","45c34b60824b4a07a0d1cd9aa43b04ab","62b540c194214daeb1aed6cd12cf3c8a","d233c6168c79437bbfccb382ae5b359e","92bd1d24fcd44be98cef2932bc8622f3","5058105030ff406690fb4a69be65aee4","c5011fd6b3fb477ba356614291354934","43302ecfc9494e98b12a2c52bd39d919","913600a5be664247adad44c737df68be","53d836a7f62c461382605f785bd9f35b","9e6b52312e8d4224892341038069614a","8e19dc924f9146d9951504a272834b82","0571f58658584184b78df8a4b8024e33","a11d0a75e0074889ad9be5630abe78e8","f75e3ac2e444404193de9f78482c272a","a3fa9f93076548d7b7a4bfb4a28fce3e","9cada3bbca9a4e7b9305c9e148eebc8f","23ba191c21d84985acd79c867e534937","d5dad9c9ebb44f84bd85d8e843aa72b5","fd843cf0cf0143aea74d09a4d328255f","876e5c6a47284f768248a0ebb1c4316d","4e7d2c1e5666481eb2f7136c6fd87a30","e4534ee1b6ee42e2991b668b6bd85132","1a8dad182b2d4fb29a76426d120921c5","cc4ac61cae974c8da21bd9c3df8234e1","4ce15e3a2936457b81cdf6231a89dd75","67c178d4d0b14db9a61d4533c4b1e5c0","b01fb3efdf7b4a4dae31fd4dc8a0dd7c","ef2d27bd74e1482094807e5c6d7134c9","c3d7e91c86524fc99a781f07db4a3607","76423f4b8c21434f806ec5c7b5cdffb2","f8672ced67714bbab540a91d7044112b","ffd5d0436d3843bc84268cedc352a072","508024b83e514a849226f81e727b0e8b","6ca376aa804c46808561866d08f37b3a","e985b111801a49eabc1e91d53723c18b","a637b692ba144a6c91c70a7dd090001d","2fee71d0bdc14a0d8fed8454480043e1","d9719aa4321542c09e459ef31902d746","b4ade2540f6a43ebbb5f0de8dbb49843","e7c5cf1c3be945f9bbab3d742cc7263b","46d067f88aae4a31873db29f57735f10","f4850abec06c4fc79dd28bbf52f3b916","b6185a2af2614021b0d909c13c2a9571","21ae72e3f4ff4f6ba86d50a3729bb2b5","800923a07ae04ceca1b48b2783dbac24","3ac0b18ffd224268a984edf5d7fc1f5a","752c0bfe79cf4e44bf7f59d93064c48c","6cba97fc0b4c4164bf7e7d13d82115fa","c59d4589206a4b3a933f655620623cff","afd7693384bd4c6ebbf3e81cc53cfa83","7621985596034d00b51940e8ffe458b6","53d4871c760e4cc0872e355462292c27","4809689fe3154e2da7b5304596fc5315","785df8015ce64726be6f7c597398da66","02f231bffafa4d49a6ebd884675fab58","94f9898c47b246459cbc00619d7051ad","228ee9a0a17744e7a1265f4b48b702d1","529db2a1bab14170ada28ea5977a7b07","b9770f26c66d424984c72a4a1ab9d427","268ab154f632469fa167a67ea313a49c","620f0a0b52f943f7ae121f364dd05cd9","43b526e66c4d458f8dbb334394d9d348","6d2f89a0043f4a71abef695b830a8107","4440fb3d5c84406c853ae7c419b74290","e610044a7db543c4b6b6f5025e8b14e1","1e22ac4308464b06a1886996921ad2b4","42727e23b4524973837ce82f8fb4bee7","80e9cabb20e34486ba98779d3c24fb74","cbf83d5ed8ad4037b9b0ca3665cb096a"]},"executionInfo":{"elapsed":8881,"status":"ok","timestamp":1677535878104,"user":{"displayName":"Daniele Badiali","userId":"10202881816518872932"},"user_tz":-60},"id":"lQ-U9jlfLrEf","outputId":"a0098169-df91-483a-cec2-0fdaf28219e9"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (…)lve/main/config.json:   0%|          | 0.00/1.33k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"049bc8e8cc2845b6adedbf7534f46be4"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)\"pytorch_model.bin\";:   0%|          | 0.00/298M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"92bd1d24fcd44be98cef2932bc8622f3"}},"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":"a3fa9f93076548d7b7a4bfb4a28fce3e"}},"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":"67c178d4d0b14db9a61d4533c4b1e5c0"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)olve/main/source.spm:   0%|          | 0.00/768k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"2fee71d0bdc14a0d8fed8454480043e1"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)olve/main/target.spm:   0%|          | 0.00/797k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6cba97fc0b4c4164bf7e7d13d82115fa"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)olve/main/vocab.json:   0%|          | 0.00/1.27M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b9770f26c66d424984c72a4a1ab9d427"}},"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-en-de\"\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":1677535878107,"user_tz":-60,"elapsed":11,"user":{"displayName":"Daniele Badiali","userId":"10202881816518872932"}}},"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', 'Translate_GPT_1'])\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","    trad_en_2 = self.translator_en([self.text_cleaning(text) for text in df_orig['Translate_GPT_1']])\n","\n","    df_trad['Original'] = df_orig['Original']\n","    df_trad['Translate'] = [text['translation_text'] for text in trad_en_1[:]]\n","    df_trad['Translate_GPT_1'] = [text['translation_text'] for text in trad_en_2[:]]\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":1677535920261,"user_tz":-60,"elapsed":293,"user":{"displayName":"Daniele Badiali","userId":"10202881816518872932"}}},"outputs":[],"source":["# PARAMETRI GLOBALI\n","root_folder = 'drive/MyDrive/Traduzione_Dantesca/Data_Translate/'\n","\n","# DATI\n","data_folder_name_originale = 'data_out'\n","filename_originale = 'fiore_it_en.csv'\n","\n","data_folder_name_traduzione = 'data_out'\n","filenamepath_traduzione_en = 'fiore_en_de.csv'\n","\n","DATA_PATH_ORIGINAL = os.path.abspath(os.path.join(root_folder, data_folder_name_originale))\n","orig_filenamepath = os.path.abspath(os.path.join(DATA_PATH_ORIGINAL, filename_originale))\n","\n","DATA_PATH_TRANSLATE = os.path.abspath(os.path.join(root_folder, data_folder_name_traduzione))\n","trad_filenamepath_en = os.path.abspath(os.path.join(DATA_PATH_TRANSLATE, filenamepath_traduzione_en))"]},{"cell_type":"code","execution_count":8,"metadata":{"id":"vhnE8mSHVVKn","executionInfo":{"status":"ok","timestamp":1677541638781,"user_tz":-60,"elapsed":5718149,"user":{"displayName":"Daniele Badiali","userId":"10202881816518872932"}}},"outputs":[],"source":["translate_fiore = Translate(orig_filenamepath=orig_filenamepath,\n","                              trad_filenamepath=trad_filenamepath_en,\n","                              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