diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile new file mode 100644 index 0000000..89d0c46 --- /dev/null +++ b/.devcontainer/Dockerfile @@ -0,0 +1 @@ +FROM python:3.10-bullseye diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 0000000..e96daec --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,22 @@ +// For format details, see https://aka.ms/devcontainer.json. For config options, see the +// README at: https://github.com/devcontainers/templates/tree/main/src/debian +{ + "name": "Debian", + // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile + "build": { + // Path is relataive to the devcontainer.json file. + "dockerfile": "Dockerfile" + } + + // Features to add to the dev container. More info: https://containers.dev/features. + // "features": {}, + + // Use 'forwardPorts' to make a list of ports inside the container available locally. + // "forwardPorts": [], + + // Configure tool-specific properties. + // "customizations": {}, + + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + // "remoteUser": "root" +} diff --git a/components/small-ffmpeg/Dockerfile b/components/small-ffmpeg/Dockerfile new file mode 100644 index 0000000..08672e4 --- /dev/null +++ b/components/small-ffmpeg/Dockerfile @@ -0,0 +1,11 @@ +FROM ubuntu:jammy + +RUN apt-get update && apt-get install --no-install-recommends -y \ + ca-certificates \ + ffmpeg \ + pkg-config \ + python3 \ + python3-pip \ + python3-setuptools \ + python3-wheel \ + && rm -rf /var/lib/apt/lists/* \ No newline at end of file diff --git a/components/small-ffmpeg/build.sh b/components/small-ffmpeg/build.sh new file mode 100644 index 0000000..510033b --- /dev/null +++ b/components/small-ffmpeg/build.sh @@ -0,0 +1,11 @@ +#!/bin/bash -e +image_name=davidnet/small-ffmpeg +image_tag=v1 +full_image_name=${image_name}:${image_tag} + +cd "$(dirname "$0")" +docker build -t "${full_image_name}" . +docker push "$full_image_name" + +# Output the strict image name, which contains the sha256 image digest +docker inspect --format="{{index .RepoDigests 0}}" "${full_image_name}" \ No newline at end of file diff --git a/pipeline.py b/pipeline.py new file mode 100644 index 0000000..32f1a82 --- /dev/null +++ b/pipeline.py @@ -0,0 +1,128 @@ +# %% +from kfp import dsl, compiler +from kfp.dsl import Input, Output, Artifact + + +@dsl.component(packages_to_install=["pytube==12.1.2"]) +def download_videos(videos_ids: Input[Artifact], audio_files: Output[Artifact]): + from shutil import make_archive + import tempfile + from pytube import YouTube + from pytube.exceptions import RegexMatchError + + with open(videos_ids.path, "r") as f: + videos_ids = f.read().splitlines() + + tmpdirname = tempfile.TemporaryDirectory() + for video_id in videos_ids: + url = f"https://youtu.be/{video_id}" + try: + yt = YouTube(url) + except RegexMatchError: + print(f"RegexMatchError for '{url}'") + continue + itag = None + # we only want audio files + files = yt.streams.filter(only_audio=True) + for file in files: + # from audio files we grab the first audio for mp4 (eg mp3) + if file.mime_type == "audio/mp4": + itag = file.itag + break + if itag is None: + # just incase no MP3 audio is found (shouldn't happen) + print("NO MP3 AUDIO FOUND") + continue + # get the correct mp3 'stream' + stream = yt.streams.get_by_itag(itag) + # downloading the audio + stream.download(output_path=tmpdirname.name, filename=f"{video_id}.mp3") + make_archive(audio_files.path, "gztar", tmpdirname.name) + # audio_files.uri = audio_files.path + ".tar.gz" + audio_files.metadata["name"] = "audio_files.tar.gz" + audio_files.uri = audio_files.uri + ".tar.gz" + + +@dsl.component( + base_image="davidnet/small-ffmpeg:v1", + packages_to_install=["openai-whisper==20230124"], +) +def transcribe_audios(audio_files: Input[Artifact], transcriptions: Output[Artifact]): + import shutil + from pathlib import Path + import whisper + import torch + import json + + print("Starting") + device = "cuda" if torch.cuda.is_available() else "cpu" + model = whisper.load_model("base").to(device) + print("model loaded") + audio_extraction_dir = Path("audio_files") + audio_extraction_dir.mkdir() + shutil.unpack_archive(audio_files.path, extract_dir=audio_extraction_dir.absolute()) + # get a list of all mp3 files in the audio_extraction_dir directory + audio_files_list = list(audio_extraction_dir.glob("*.mp3")) + data = [] + for audio_file in audio_files_list: + id = audio_file.name + print("Transcribing ", id) + result = model.transcribe(audio_file.absolute().as_posix()) + print("processed ", id) + segments = result["segments"] + for j, segment in enumerate(segments): + # merge segments data and videos_meta data + meta = { + **{ + "id": f"{id}-t{segments[j]['start']}", + "text": segment["text"].strip(), + "start": segment["start"], + "end": segment["end"], + } + } + data.append(meta) + with open(transcriptions.path, "w", encoding="utf-8") as fp: + for line in data: + json.dump(line, fp) + fp.write("\n") + + transcriptions.uri = transcriptions.uri + ".jsonl" + + +@dsl.component(packages_to_install=["requests==2.28.2"]) +def download_and_parse(urls: Input[Artifact], videos_ids: Output[Artifact]): + import requests + from urllib import parse + + print("Obtaining ", urls.uri) + r = requests.get(urls.uri) + raw_data = r.content.decode("utf-8").strip() + # Extract v files https://stackoverflow.com/questions/5074803/retrieving-parameters-from-a-url + yt_videos_id = [ + parse.parse_qs(parse.urlparse(elem).query)["v"][0] for elem in raw_data.split() + ] + with open(videos_ids.path, "w") as f: + f.write("\n".join(yt_videos_id)) + + +@dsl.pipeline() +def pipeline( + video_location: str = "https://raw.githubusercontent.com/charlesa101/youtube-whisper-sbert/main/urls-from-Community-notes", +): + importer_task = dsl.importer( + artifact_uri=video_location, + artifact_class=dsl.Artifact, + reimport=False, + ) + reader_task = download_and_parse(urls=importer_task.output) + 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