{"cells":[{"cell_type":"markdown","metadata":{"id":"rntJPk4H2OoF"},"source":["# Download YouTube Video's Audio"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JCDAbzvU1DqZ","executionInfo":{"status":"ok","timestamp":1684335388686,"user_tz":-330,"elapsed":2746,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"fac42ea3-3bd3-4cf9-aaaf-9f83d2190fac"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/57.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.6/57.6 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h"]}],"source":["! pip install pytube -q "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"IRT0zkiT1Q1L"},"outputs":[],"source":["from pytube import YouTube"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"z4s2ZtSmHj3-"},"outputs":[],"source":["VIDEO_URL = 'https://www.youtube.com/watch?v=u31GMvCILPA&list=PLnD0GeV9CG_Pc1gSnMa1yrTD9CdiX1tBY&index=9' "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"nhBsFZ4V1wZG"},"outputs":[],"source":["yt = YouTube(VIDEO_URL)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"id":"zk1w07V21XDZ","outputId":"88298767-2495-422d-b846-4d90d51c511c","executionInfo":{"status":"ok","timestamp":1684339547074,"user_tz":-330,"elapsed":2854,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'/content/ytaudio.mp4'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":56}],"source":["audio_stream = yt.streams.filter(only_audio=True, file_extension='mp4').first()\n","\n","audio_stream.download(filename='ytaudio.mp4')\n","  \n"]},{"cell_type":"code","execution_count":59,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"zUfk3DWo12yb","outputId":"6c096dd2-3617-41ba-9546-0fdb669bcc8f","executionInfo":{"status":"ok","timestamp":1684341940968,"user_tz":-330,"elapsed":60147,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["ffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers\n","  built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1)\n","  configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n","  libavutil      56. 31.100 / 56. 31.100\n","  libavcodec     58. 54.100 / 58. 54.100\n","  libavformat    58. 29.100 / 58. 29.100\n","  libavdevice    58.  8.100 / 58.  8.100\n","  libavfilter     7. 57.100 /  7. 57.100\n","  libavresample   4.  0.  0 /  4.  0.  0\n","  libswscale      5.  5.100 /  5.  5.100\n","  libswresample   3.  5.100 /  3.  5.100\n","  libpostproc    55.  5.100 / 55.  5.100\n","Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'ytaudio.mp4':\n","  Metadata:\n","    major_brand     : dash\n","    minor_version   : 0\n","    compatible_brands: iso6mp41\n","    creation_time   : 2023-04-19T02:49:07.000000Z\n","  Duration: 00:17:12.59, start: 0.000000, bitrate: 48 kb/s\n","    Stream #0:0(und): Audio: aac (HE-AAC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 0 kb/s (default)\n","    Metadata:\n","      creation_time   : 2023-04-19T02:49:07.000000Z\n","      handler_name    : ISO Media file produced by Google Inc.\n","File 'ytaudio1.wav' already exists. Overwrite ? [y/N] ^C\n"]}],"source":["! ffmpeg -i ytaudio.mp4 -acodec pcm_s16le -ar 16000 ytaudio1.wav"]},{"cell_type":"markdown","metadata":{"id":"5CqgQmI62RcX"},"source":["# English ASR\n"]},{"cell_type":"code","execution_count":61,"metadata":{"id":"UkfBQrUN2Vjr","executionInfo":{"status":"ok","timestamp":1684341947537,"user_tz":-330,"elapsed":6571,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["!pip install huggingsound -q "]},{"cell_type":"code","execution_count":63,"metadata":{"id":"XkUnx8ZU2WlJ","executionInfo":{"status":"ok","timestamp":1684341953013,"user_tz":-330,"elapsed":13,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["from huggingsound import SpeechRecognitionModel\n"]},{"cell_type":"code","execution_count":64,"metadata":{"id":"Jj7WcGRx5NvJ","executionInfo":{"status":"ok","timestamp":1684341956309,"user_tz":-330,"elapsed":11,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["import torch\n","device = \"cuda\" if torch.cuda.is_available() else \"cpu\""]},{"cell_type":"code","execution_count":65,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"id":"cZYiuhenEtzD","outputId":"04ec6d60-2d25-43eb-9175-bdfc9c041989","executionInfo":{"status":"ok","timestamp":1684341957311,"user_tz":-330,"elapsed":514,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'cuda'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":65}],"source":["device"]},{"cell_type":"code","execution_count":66,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2EisvBe52ZHO","outputId":"d6c44be4-94d4-43b2-ae57-0168af99ada0","executionInfo":{"status":"ok","timestamp":1684341975833,"user_tz":-330,"elapsed":14256,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"stream","name":"stderr","text":["INFO:huggingsound.speech_recognition.model:Loading model...\n"]}],"source":["model = SpeechRecognitionModel(\"jonatasgrosman/wav2vec2-large-xlsr-53-english\", device=device)\n","\n"]},{"cell_type":"markdown","metadata":{"id":"LX4o4edBE_7g"},"source":["OUT OF MEMORY (OOM) error"]},{"cell_type":"markdown","metadata":{"id":"FqmMi7VMq3kq"},"source":["# Audio Chunking"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"47leIDcR1LsQ"},"outputs":[],"source":["import librosa"]},{"cell_type":"code","execution_count":68,"metadata":{"id":"lm67x4AX3L57","executionInfo":{"status":"ok","timestamp":1684341991155,"user_tz":-330,"elapsed":469,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["input_file = '/content/ytaudio1.wav'"]},{"cell_type":"code","execution_count":69,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6NGzeYGr3IZA","outputId":"8e648daf-1e8a-478a-f002-e023275e01de","executionInfo":{"status":"ok","timestamp":1684341994126,"user_tz":-330,"elapsed":10,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["16000\n"]}],"source":["print(librosa.get_samplerate(input_file))\n","\n","\n","stream = librosa.stream(\n","    input_file,\n","    block_length=30,\n","    frame_length=16000,\n","    hop_length=16000\n",")"]},{"cell_type":"code","execution_count":70,"metadata":{"id":"YmlYH6ag32bj","executionInfo":{"status":"ok","timestamp":1684341996833,"user_tz":-330,"elapsed":4,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["import soundfile as sf\n"]},{"cell_type":"code","execution_count":71,"metadata":{"id":"Yj1wf18l3QJJ","executionInfo":{"status":"ok","timestamp":1684342000314,"user_tz":-330,"elapsed":882,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["for i,speech in enumerate(stream):\n","  sf.write(f'{i}.wav', speech, 16000)"]},{"cell_type":"code","execution_count":72,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oTMcAuRgH3DI","outputId":"922635ff-4294-4160-f58b-18c2c07314ab","executionInfo":{"status":"ok","timestamp":1684342000316,"user_tz":-330,"elapsed":13,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["34"]},"metadata":{},"execution_count":72}],"source":["i"]},{"cell_type":"markdown","metadata":{"id":"Y5H4Uyoy9jF9"},"source":["# Audio Transcription / ASR / Speech to Text"]},{"cell_type":"code","execution_count":73,"metadata":{"id":"s8a8Mr4R6ndX","executionInfo":{"status":"ok","timestamp":1684342003114,"user_tz":-330,"elapsed":6,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["audio_path =[]\n","for a in range(i+1):\n","  audio_path.append(f'/content/{a}.wav') "]},{"cell_type":"code","execution_count":74,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"spXDc1r88RPn","outputId":"6f8987fe-91b8-4754-a043-7a0942bc6fd8","executionInfo":{"status":"ok","timestamp":1684342006529,"user_tz":-330,"elapsed":15,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["['/content/0.wav',\n"," '/content/1.wav',\n"," '/content/2.wav',\n"," '/content/3.wav',\n"," '/content/4.wav',\n"," '/content/5.wav',\n"," '/content/6.wav',\n"," '/content/7.wav',\n"," '/content/8.wav',\n"," '/content/9.wav',\n"," '/content/10.wav',\n"," '/content/11.wav',\n"," '/content/12.wav',\n"," '/content/13.wav',\n"," '/content/14.wav',\n"," '/content/15.wav',\n"," '/content/16.wav',\n"," '/content/17.wav',\n"," '/content/18.wav',\n"," '/content/19.wav',\n"," '/content/20.wav',\n"," '/content/21.wav',\n"," '/content/22.wav',\n"," '/content/23.wav',\n"," '/content/24.wav',\n"," '/content/25.wav',\n"," '/content/26.wav',\n"," '/content/27.wav',\n"," '/content/28.wav',\n"," '/content/29.wav',\n"," '/content/30.wav',\n"," '/content/31.wav',\n"," '/content/32.wav',\n"," '/content/33.wav',\n"," '/content/34.wav']"]},"metadata":{},"execution_count":74}],"source":["audio_path"]},{"cell_type":"code","execution_count":75,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"DYLKuZ1g2kmL","outputId":"b56063d1-3799-49fe-9126-d6e309fb05ab","executionInfo":{"status":"ok","timestamp":1684342030059,"user_tz":-330,"elapsed":18806,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"stream","name":"stderr","text":["100%|██████████| 35/35 [00:18<00:00,  1.85it/s]\n"]}],"source":["transcriptions = model.transcribe(audio_path)"]},{"cell_type":"code","execution_count":76,"metadata":{"id":"bbzcKziD9aYx","executionInfo":{"status":"ok","timestamp":1684342030059,"user_tz":-330,"elapsed":41,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["full_transcript = \"\"\" \"\"\" "]},{"cell_type":"code","execution_count":77,"metadata":{"id":"C2Vi7kXw2xGo","executionInfo":{"status":"ok","timestamp":1684342030060,"user_tz":-330,"elapsed":39,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[],"source":["for item in transcriptions:\n","  full_transcript += ''.join(item['transcription'])"]},{"cell_type":"code","execution_count":78,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2LKBXZrk5ima","outputId":"33c1630f-ec9f-45ea-853e-c03e94ef9574","executionInfo":{"status":"ok","timestamp":1684342030060,"user_tz":-330,"elapsed":36,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["10829"]},"metadata":{},"execution_count":78}],"source":["len(full_transcript)"]},{"cell_type":"code","source":["print(full_transcript)"],"metadata":{"id":"yxY-G2YaRN4S","outputId":"a89b9e5e-7b06-4e3c-f3e1-922ed27eee41","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1684336967551,"user_tz":-330,"elapsed":55,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":[" soetimes you ned to get knocked now before you can really figure outfighting its and how you need tho fight itsometies you need to feel the pain and sting of eat to activate the real passion and purpose that got predestined inside of yougod says and jeremia i know the plans i have for youans to prosper you and not to harm you plans to give you hope etar future hear me well on this day this day we you have reached te hilltime and you are deciding on on next jobs next steps careers further education you would rather find purpose than a job or careerpurpose crosses disciplines purpose is an suelement of you it is the reason you're only planet at this particular time in history your very existence is wrapped up in the things you are hurtiful fiel whatever you choose for careerpath remember the struggles along the way are only ment to shape you for your purposewhen god has something for you doesn't matter who stands against itif it submit for yougod will mosomeone is holding you back away from the doorand put someone there who will open it for youi don't know what your future is but if you're willing to take the harter way the more complicated one the one with more failures at first this successes the one that has ultimately proved to have more meaning mat victory more glory you will not regret itpresson with pride empresson with purpose and appreciate whit god has brought u\n"]}]},{"cell_type":"markdown","source":["\n","\n","```\n","# This is formatted as code\n","```\n","\n","**TRANSCRIPT CORRECTION(FOR LINGUISTIC AND SPELLING ERRORS)**"],"metadata":{"id":"Ac8fKWQm6GHl"}},{"cell_type":"code","execution_count":80,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":400},"id":"FH8QJF3O9-IN","outputId":"9d55cfad-e82a-4478-acfa-00e77ea8b86b","executionInfo":{"status":"error","timestamp":1684342074236,"user_tz":-330,"elapsed":2456,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"stream","name":"stderr","text":["Token indices sequence length is longer than the specified maximum sequence length for this model (2542 > 1024). Running this sequence through the model will result in indexing errors\n"]},{"output_type":"error","ename":"IndexError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)","\u001b[0;32m<ipython-input-80-4e801e525faa>\u001b[0m in \u001b[0;36m<cell line: 5>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mfix_spelling\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpipeline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"text2text-generation\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"oliverguhr/spelling-correction-english-base\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mfixed_spelling\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfix_spelling\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfull_transcript\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmax_length\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4569\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfixed_spelling\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/pipelines/text2text_generation.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    163\u001b[0m         \"\"\"\n\u001b[1;32m    164\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 165\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    166\u001b[0m         if (\n\u001b[1;32m    167\u001b[0m             \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/pipelines/base.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, inputs, num_workers, batch_size, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1117\u001b[0m             )\n\u001b[1;32m   1118\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1119\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_single\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpreprocess_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforward_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpostprocess_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1120\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1121\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrun_multi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpreprocess_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforward_params\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0;34m=\u001b[0m \u001b[0minputs_tensor\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 638\u001b[0;31m         \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"encoder_outputs\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mModelOutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mencoder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mencoder_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    639\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    640\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_call_impl\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m   1128\u001b[0m         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks\n\u001b[1;32m   1129\u001b[0m                 or _global_forward_hooks or _global_forward_pre_hooks):\n\u001b[0;32m-> 1130\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mforward_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1131\u001b[0m         \u001b[0;31m# Do not call functions when jit is used\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1132\u001b[0m         \u001b[0mfull_backward_hooks\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnon_full_backward_hooks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/models/bart/modeling_bart.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, input_ids, attention_mask, head_mask, inputs_embeds, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m    810\u001b[0m             \u001b[0minputs_embeds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0membed_tokens\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput_ids\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0membed_scale\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    811\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 812\u001b[0;31m         \u001b[0membed_pos\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0membed_positions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    813\u001b[0m         \u001b[0membed_pos\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0membed_pos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs_embeds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    814\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_call_impl\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m   1128\u001b[0m         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks\n\u001b[1;32m   1129\u001b[0m                 or _global_forward_hooks or _global_forward_pre_hooks):\n\u001b[0;32m-> 1130\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mforward_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1131\u001b[0m         \u001b[0;31m# Do not call functions when jit is used\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1132\u001b[0m         \u001b[0mfull_backward_hooks\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnon_full_backward_hooks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/models/bart/modeling_bart.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, input_ids, past_key_values_length)\u001b[0m\n\u001b[1;32m    138\u001b[0m         ).expand(bsz, -1)\n\u001b[1;32m    139\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 140\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpositions\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moffset\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    141\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/sparse.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, input)\u001b[0m\n\u001b[1;32m    156\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTensor\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mTensor\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 158\u001b[0;31m         return F.embedding(\n\u001b[0m\u001b[1;32m    159\u001b[0m             \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mweight\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpadding_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax_norm\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m             self.norm_type, self.scale_grad_by_freq, self.sparse)\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py\u001b[0m in \u001b[0;36membedding\u001b[0;34m(input, weight, padding_idx, max_norm, norm_type, scale_grad_by_freq, sparse)\u001b[0m\n\u001b[1;32m   2197\u001b[0m         \u001b[0;31m# remove once script supports set_grad_enabled\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2198\u001b[0m         \u001b[0m_no_grad_embedding_renorm_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mweight\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_norm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnorm_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2199\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0membedding\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mweight\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpadding_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscale_grad_by_freq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msparse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2200\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2201\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mIndexError\u001b[0m: index out of range in self"]}],"source":["from transformers import pipeline\n","\n","fix_spelling = pipeline(\"text2text-generation\",model=\"oliverguhr/spelling-correction-english-base\")\n","\n","fixed_spelling = fix_spelling(full_transcript,max_length=4569)\n","print(fixed_spelling)"]},{"cell_type":"markdown","source":["transcript error correction"],"metadata":{"id":"te8VjlXg4pVQ"}},{"cell_type":"markdown","metadata":{"id":"Cl6sG6LY-ibU"},"source":["# Text Summarization "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"jtmUwSt2-jj3"},"outputs":[],"source":["from transformers import pipeline"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"wnxBQBAQ-u1B","colab":{"base_uri":"https://localhost:8080/","height":301,"referenced_widgets":["2917cc0709404750950ce9dc554c7a6d","ecbe1c251272425a997e74e19229df23","9b7638c1ed66467eb87656674858d343","836fc35174a349ca809d8b70d7af1cf3","850138e197514a23a231db2f43beeab4","3d91ca58cba447ab9e87c6d8d64cf65c","371bad0d89ee47d481adad8cf53b635d","ec0cded6d2554c28863802deaba5ce0c","49667d0a55de4b158734252c133159d2","b65a0fd61b5444c9b59ad380b43191c1","7b046b50b8114491870af75f8db01844","bc093069a4e44f96838a3cbb786835f8","0ae4bbac6b3c4e38b5b27242b1704b9a","4137729315424d9fb17d9c5cdb3be070","eaff48edfaa14b8d8305563ebf78f77e","ae355060941a4471b6f6bf0b7f5d328d","782962f78d2a425b9c60a0d72c5f0b8c","eaad19c6f86347f0bf2e4d720ff9a4dc","601f5d381b6a47deb92b8f08b8e0028a","78253155b4164e069de871719d2603c4","5ee981cde51b4861af8232f5844ad659","fda80d3ddd63458a8803ba189a78e9bb","cdf5171bcd484c8c985c1c9666a14aed","8376b08bbcfb4774a921240b453ce578","7e6b46db2ce14528888b5362b864beca","e7d751c725c649cc810e6c9200b02cbe","d815158a34cd4e1e9e94855bc529bbd3","e9f09a47317b4a17bce4db9d49b9a0e2","51ece1bfd2b54b9784964fde81a5fe9b","acd6854d40e6481aac3dbf90834cad2d","0c944d59403f4ab1add486a13b11ac0e","9ef6d4f36fdc4469856ba17ebc23f998","4b0ac768539f4f42b12e7373a52d37e0","95c4b4aed4294ecaa54d3573226e70f4","d0125d33d6424c80972345e3319b355c","69ddcf17ca75431f8ddc3b2abd805f59","be52454ca12649d283bd446df7cf2af1","f350c4f187304956a8c6299cb7b9868a","14802a9bce7942a09a4b15576de242e7","5d0ce3d0fa3441ea8554858ba468cfde","2760fa21c0ae41dd8e91ef5a428802ab","20945c1326e24ecabc68c0b36c3bb503","ee9d61de4d614f1cb9332514dd3b1b95","8a405e7cd4f643f08feecc86dff8ea5c","6b40a2b5722b44739c8a3bfe1724c2fd","183f3f0459154619a1490dfd6f60d2a3","447c7ad1c309475999064b65a121b9fd","166f3b8bf19b49b592349f5520c08770","f0ef083cd0754f0eb529424539821b13","deabf6c5f350439d98c9ecc7d1b3b5f4","73030ece25984d3d99aeac558306810b","45ad334d3f2749fbb72b43dd9f1ac786","0af1f36be086483699606ee89e861c90","217173033a00409b8f5881f0af6438d0","6d4095e2664047cfb437a768fa40e1e6"]},"executionInfo":{"status":"ok","timestamp":1684339301530,"user_tz":-330,"elapsed":14195,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}},"outputId":"b8da504a-1056-4aed-ac05-de794e54ace0"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (…)lve/main/config.json:   0%|          | 0.00/1.21k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"2917cc0709404750950ce9dc554c7a6d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading pytorch_model.bin:   0%|          | 0.00/892M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"bc093069a4e44f96838a3cbb786835f8"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)neration_config.json:   0%|          | 0.00/147 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"cdf5171bcd484c8c985c1c9666a14aed"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)ve/main/spiece.model:   0%|          | 0.00/792k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"95c4b4aed4294ecaa54d3573226e70f4"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)/main/tokenizer.json:   0%|          | 0.00/1.39M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6b40a2b5722b44739c8a3bfe1724c2fd"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5.\n","For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`.\n","- Be aware that you SHOULD NOT rely on t5-base automatically truncating your input to 512 when padding/encoding.\n","- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding.\n","- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value.\n","  warnings.warn(\n"]}],"source":["summarization = pipeline('summarization', model=\"t5-base\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8B_kTnByG2bY"},"outputs":[],"source":["summarized_text = summarization(full_transcript)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":53},"id":"aAwJDzf4IV4l","outputId":"4ceda911-f31d-4fbe-bc2d-0e992b5ee29b","executionInfo":{"status":"ok","timestamp":1684339402260,"user_tz":-330,"elapsed":1292,"user":{"displayName":"gaurav vlogss","userId":"13090030102188813854"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'empresson: i know the plans i have for youans to prosper you and not to harm you plans to give you hope etar future hear me well on this day we you have reached te hilltime and you are deciding on on next jobs next steps careers further education .'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":53}],"source":["summarized_text[0]['summary_text']"]}],"metadata":{"accelerator":"GPU","colab":{"provenance":[{"file_id":"https://github.com/shauryakudiyal/text-summarization-using-fine-tuned-bart/blob/main/speech_to_text_summarization_using_ml.ipynb","timestamp":1683050075607}]},"kernelspec":{"display_name":"Python 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