From 008a0eb3f660501795227df3b6b689882c776f42 Mon Sep 17 00:00:00 2001 From: Ahmed Alqarni11 Date: Tue, 18 Mar 2025 23:18:09 +0300 Subject: [PATCH] lab1d3w5 --- main.ipynb | 1604 +++++++++++++++++++++++++++++++++------------------- 1 file changed, 1013 insertions(+), 591 deletions(-) diff --git a/main.ipynb b/main.ipynb index 65a586d..95e944e 100644 --- a/main.ipynb +++ b/main.ipynb @@ -59,138 +59,616 @@ "outputId": "960151d8-f350-449e-9d92-eb4e6337de91" }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR: Invalid requirement: '#': Expected package name at the start of dependency specifier\n", + " #\n", + " ^\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: transformers in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (4.27.2)\n", - "Requirement already satisfied: filelock in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (from transformers) 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"\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n", "Collecting wikipedia\n", - " Using cached wikipedia-1.4.0-py3-none-any.whl\n", - "Requirement already satisfied: beautifulsoup4 in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (from wikipedia) (4.12.3)\n", - "Requirement already satisfied: requests<3.0.0,>=2.0.0 in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (from wikipedia) (2.32.3)\n", - "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (3.3.2)\n", - "Requirement already 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packages: wikipedia\n", + " Building wheel for wikipedia (setup.py): started\n", + " Building wheel for wikipedia (setup.py): finished with status 'done'\n", + " Created wheel for wikipedia: filename=wikipedia-1.4.0-py3-none-any.whl size=11703 sha256=ffb87b2d74cc06f5e3799b5c3165e46e0208aa7706764efb4f7fff93be1c6e99\n", + " Stored in directory: c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local\\pip\\cache\\wheels\\8f\\ab\\cb\\45ccc40522d3a1c41e1d2ad53b8f33a62f394011ec38cd71c6\n", + "Successfully built wikipedia\n", "Installing collected packages: wikipedia\n", "Successfully installed wikipedia-1.4.0\n", - "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, 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"stream", + "text": [ + "ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: 'C:\\\\Users\\\\Lenovo\\\\AppData\\\\Local\\\\Packages\\\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\\\LocalCache\\\\local-packages\\\\Python311\\\\site-packages\\\\tensorflow\\\\include\\\\external\\\\com_github_grpc_grpc\\\\src\\\\core\\\\ext\\\\filters\\\\client_channel\\\\lb_policy\\\\grpclb\\\\client_load_reporting_filter.h'\n", + "HINT: This error might have occurred since this system does not have Windows Long Path support enabled. You can find information on how to enable this at https://pip.pypa.io/warnings/enable-long-paths\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: torch in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (2.6.0)\n", + "Requirement already satisfied: filelock in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (from torch) (3.18.0)\n", + "Requirement already satisfied: typing-extensions>=4.10.0 in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (from torch) (4.12.2)\n", + "Requirement already satisfied: networkx in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (from torch) (3.4.2)\n", + "Requirement already satisfied: jinja2 in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (from torch) (3.1.5)\n", + "Requirement already satisfied: fsspec in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (from torch) (2024.12.0)\n", + "Requirement already satisfied: sympy==1.13.1 in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (from torch) (1.13.1)\n", + "Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (from sympy==1.13.1->torch) (1.3.0)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\lenovo\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\\localcache\\local-packages\\python311\\site-packages (from jinja2->torch) (3.0.2)\n" ] } ], @@ -222,7 +700,16 @@ "metadata": { "id": "0U1iHK0ETBXf" }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Lenovo\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "from transformers import pipeline\n", "import pandas as pd\n", @@ -338,11 +825,13 @@ }, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "WARNING:tensorflow:From C:\\Users\\drago\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tf_keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n", - "\n" + "C:\\Users\\Lenovo\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\huggingface_hub\\file_download.py:142: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\Lenovo\\.cache\\huggingface\\hub\\models--cardiffnlp--twitter-roberta-base-irony. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n", + "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n", + " warnings.warn(message)\n", + "Device set to use cpu\n" ] } ], @@ -374,7 +863,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "[{'label': 'irony', 'score': 0.9424387812614441}, {'label': 'non_irony', 'score': 0.057561274617910385}]\n" + "[{'label': 'irony', 'score': 0.9424386620521545}, {'label': 'non_irony', 'score': 0.05756136775016785}]\n" ] } ], @@ -539,7 +1028,18 @@ "id": "hKtdnG1FkRQt", "outputId": "6bde9a22-0683-447c-f614-10ef5e298c91" }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Lenovo\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\huggingface_hub\\file_download.py:142: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\Lenovo\\.cache\\huggingface\\hub\\models--facebook--m2m100_418M. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n", + "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n", + " warnings.warn(message)\n", + "Device set to use cpu\n" + ] + } + ], "source": [ "# translation pipeline docs: https://huggingface.co/transformers/main_classes/pipelines.html#transformers.TranslationPipeline\n", "pipeline_translate = pipeline(\"translation\", model=\"facebook/m2m100_418M\")" @@ -606,10 +1106,10 @@ "output_type": "stream", "text": [ "Original text:\n", - "Donald John Trump [ˈdɑn.əld dʒɑn tɹɐmp] (* 14. Juni 1946 in New York City) ist ein US-amerikanischer Unternehmer, Entertainer und Politiker der Republikanischen Partei. Von 2017 bis 2021 war er der 45. Präsident der Vereinigten Staaten. Er gilt als einer der umstrittensten Politiker der US-Geschichte und ist der erst\n", + "Donald John Trump [ˈdɑn.əld dʒɑn tɹɐmp] (* 14. Juni 1946 in New York City) ist ein US-amerikanischer Politiker der Republikanischen Partei. Er war von 2017 bis 2021 der 45. und ist seit 2025 der 47. Präsident der Vereinigten Staaten. Außerdem ist er Unternehmer und ehemaliger Showmaster. Er gilt als einer der umstrit\n", "\n", "Translated text:\n", - "Donald John Trump [ˈdɑn.əld dʒɑn tɔmp] (* 14 June 1946 in New York City) is an American entrepreneur, entertainer and politician of the Republican Party. From 2017 to 2021 he was the 45th President of the United States.\n" + "Donald John Trump [ˈdɑn.əld dʒɑn tɔmp] (* 14 June 1946 in New York City) is an American politician of the Republican Party. he was from 2017 to 2021 the 45th and is from 2025 the 47th President of the United States.\n" ] } ], @@ -705,74 +1205,14 @@ }, "outputs": [ { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2ca08b4e4d1e462fb582bbbf3062d206", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "config.json: 0%| | 0.00/1.80k [00:00\n", " 0\n", " PER\n", - " 0.989843\n", + " 0.985677\n", " donald john trump\n", " 0\n", " 17\n", @@ -1034,7 +1408,7 @@ " \n", " 1\n", " MISC\n", - " 0.991848\n", + " 0.991559\n", " american\n", " 45\n", " 53\n", @@ -1042,362 +1416,389 @@ " \n", " 2\n", " LOC\n", - " 0.992675\n", + " 0.991947\n", " united states\n", - " 141\n", - " 154\n", + " 134\n", + " 147\n", " \n", " \n", " 3\n", - " PER\n", - " 0.989312\n", - " trump\n", - " 174\n", - " 179\n", + " MISC\n", + " 0.856172\n", + " republican\n", + " 165\n", + " 175\n", " \n", " \n", " 4\n", " ORG\n", - 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" 2518\n", + " PER\n", + " 0.992044\n", + " joe biden\n", + " 2057\n", + " 2066\n", " \n", " \n", " 36\n", - " LOC\n", - " 0.906911\n", - " iran\n", - " 2528\n", - " 2532\n", + " PER\n", + " 0.985875\n", + " trump\n", + " 2068\n", + " 2073\n", " \n", " \n", " 37\n", " MISC\n", - " 0.987541\n", - " north korean\n", - " 2559\n", - " 2571\n", + " 0.428098\n", + " capitol\n", + " 2138\n", + " 2145\n", " \n", " \n", " 38\n", " PER\n", - " 0.993055\n", - " kim jong un\n", - " 2579\n", - " 2590\n", + " 0.981908\n", + " trump\n", + " 2171\n", + " 2176\n", " \n", " \n", " 39\n", - " PER\n", - " 0.989296\n", - " trump\n", - " 2645\n", - " 2650\n", + " LOC\n", + " 0.980291\n", + " u. s\n", + " 2351\n", + " 2354\n", " \n", " \n", " 40\n", - " LOC\n", - " 0.874581\n", - " u. s.\n", - " 2663\n", - " 2667\n", + " MISC\n", + " 0.465429\n", + " .\n", + " 2354\n", + " 2355\n", + " \n", + " \n", + " 41\n", + " PER\n", + " 0.996215\n", + " kamal\n", + " 2442\n", + " 2447\n", + " \n", + " \n", + " 42\n", + " PER\n", + " 0.983849\n", + " ##a harris\n", + " 2447\n", + " 2455\n", + " \n", + " \n", + " 43\n", + " PER\n", + " 0.991261\n", + " trump\n", + " 2457\n", + " 2462\n", " \n", " \n", "\n", "" ], "text/plain": [ - " entity_group score word start end\n", - "0 PER 0.989843 donald john trump 0 17\n", - "1 MISC 0.991848 american 45 53\n", - "2 LOC 0.992675 united states 141 154\n", - "3 PER 0.989312 trump 174 179\n", - "4 ORG 0.697325 university of pennsylvania 233 259\n", - "5 PER 0.969404 trump 337 342\n", - "6 ORG 0.712140 trump organization 358 376\n", - "7 PER 0.913634 trump 597 602\n", - "8 MISC 0.953361 the apprentice 684 698\n", - "9 PER 0.992383 trump 828 833\n", - "10 MISC 0.873182 republican 876 886\n", - "11 MISC 0.978373 democratic 909 919\n", - "12 PER 0.994271 hillary clinton 936 951\n", - "13 LOC 0.997165 russia 1032 1038\n", - "14 PER 0.982982 trump 1079 1084\n", - "15 LOC 0.849478 u. s. 1274 1278\n", - "16 PER 0.986752 trump 1338 1343\n", - "17 MISC 0.994762 american 1485 1493\n", - "18 PER 0.980122 trump 1622 1627\n", - "19 MISC 0.987600 muslim 1674 1680\n", - "20 LOC 0.977429 u. s. 1757 1761\n", - "21 LOC 0.997740 mexico 1762 1768\n", - "22 MISC 0.891977 tax cuts and jobs act of 1904 1928\n", - "23 MISC 0.960363 affordable care act 2021 2040\n", - "24 PER 0.996589 neil gorsuch 2055 2067\n", - "25 PER 0.997994 brett kavanaugh 2069 2084\n", - "26 PER 0.997711 amy coney barrett 2090 2107\n", - "27 LOC 0.901173 u. s. 2115 2119\n", - "28 ORG 0.821682 supreme court 2120 2133\n", - "29 MISC 0.937786 covid - 19 2160 2168\n", - "30 PER 0.980800 trump 2359 2364\n", - "31 LOC 0.996960 china 2392 2397\n", - "32 LOC 0.991840 u. s 2415 2418\n", - "33 MISC 0.908778 trans - pacific partnership 2438 2463\n", - "34 MISC 0.889306 paris agreement 2485 2500\n", - "35 MISC 0.697912 climate change 2504 2518\n", - "36 LOC 0.906911 iran 2528 2532\n", - "37 MISC 0.987541 north korean 2559 2571\n", - "38 PER 0.993055 kim jong un 2579 2590\n", - "39 PER 0.989296 trump 2645 2650\n", - "40 LOC 0.874581 u. s. 2663 2667" + " entity_group score word start end\n", + "0 PER 0.985677 donald john trump 0 17\n", + "1 MISC 0.991559 american 45 53\n", + "2 LOC 0.991947 united states 134 147\n", + "3 MISC 0.856172 republican 165 175\n", + "4 ORG 0.641689 party 176 181\n", + "5 LOC 0.994514 new york city 242 255\n", + "6 PER 0.981356 trump 257 262\n", + "7 ORG 0.634989 university of pennsylvania 282 308\n", + "8 ORG 0.886364 trump organization 441 459\n", + "9 MISC 0.918888 the apprentice 679 693\n", + "10 PER 0.987900 trump 717 722\n", + "11 MISC 0.995448 democratic 766 776\n", + "12 PER 0.993702 hillary clinton 785 800\n", + "13 PER 0.978521 trump 821 826\n", + "14 MISC 0.991937 muslim 869 875\n", + "15 LOC 0.977024 u. s. 909 913\n", + "16 LOC 0.996966 mexico 914 920\n", + "17 MISC 0.945072 tax cuts and jobs act 1044 1065\n", + "18 ORG 0.732919 supreme court 1087 1100\n", + "19 PER 0.984474 trump 1130 1135\n", + "20 LOC 0.994024 u. s 1149 1152\n", + "21 LOC 0.994569 iran 1193 1197\n", + "22 LOC 0.996577 china 1240 1245\n", + "23 MISC 0.985318 north korean 1260 1272\n", + "24 PER 0.982862 kim jong un 1280 1291\n", + "25 MISC 0.988051 co 1356 1358\n", + "26 MISC 0.928581 ##vid - 19 1358 1364\n", + "27 MISC 0.973578 cares act 1449 1458\n", + "28 PER 0.982144 trump 1469 1474\n", + "29 ORG 0.614934 congress 1535 1543\n", + "30 ORG 0.989297 senate 1593 1599\n", + "31 MISC 0.995218 american 1720 1728\n", + "32 PER 0.985130 trump 1738 1743\n", + "33 MISC 0.351972 trump 1769 1774\n", + "34 MISC 0.992226 american 1991 1999\n", + "35 PER 0.992044 joe biden 2057 2066\n", + "36 PER 0.985875 trump 2068 2073\n", + "37 MISC 0.428098 capitol 2138 2145\n", + "38 PER 0.981908 trump 2171 2176\n", + "39 LOC 0.980291 u. s 2351 2354\n", + "40 MISC 0.465429 . 2354 2355\n", + "41 PER 0.996215 kamal 2442 2447\n", + "42 PER 0.983849 ##a harris 2447 2455\n", + "43 PER 0.991261 trump 2457 2462" ] }, "execution_count": 12, @@ -1539,102 +1940,14 @@ }, "outputs": [ { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a2f5788e5bcd426e96d8d80cfda33741", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "config.json: 0%| | 0.00/1.07k [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
translation_text
0دونالد جون ترامب مواليد 14 يونيو 1946 هو سياسي...
\n", + "" + ], + "text/plain": [ + " translation_text\n", + "0 دونالد جون ترامب مواليد 14 يونيو 1946 هو سياسي..." + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import wikipedia\n", + "wikipedia.set_lang(\"en\")\n", + "\n", + "text_long = wikipedia.summary(\"Donald Trump\").replace('\\n', ' ')\n", + "\n", + "output = translator(text_long)\n", + "\n", + "pd.DataFrame(output)" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# Your code here :" + "# The code works in two main parts:\n", + "\n", + "# 1. Translation of Text**: It utilizes a pre-trained translation model from the `transformers` library to convert English text into Egyptian Arabic. For instance, a phrase like \"Where is the nearest pharmacy?\" is translated and printed in Egyptian Arabic.\n", + "\n", + "# 2. Wikipedia Data Processing**: It retrieves a summary of a Wikipedia article (e.g., about Donald Trump) in English, processes the text by removing unnecessary formatting, and then translates the cleaned text into Egyptian Arabic. The final translation is stored in a structured format using a pandas DataFrame.\n", + "\n", + "# Final Purpose:\n", + "# The ultimate goal of the code is to demonstrate how to efficiently translate English text into Egyptian Arabic.It integrates various tasks, such as importing and utilizing pre-trained translation models, extracting data from Wikipedia, cleaning the text, and organizing the output for easy use." ] } ], @@ -1770,7 +2192,7 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" },