mirror of
https://github.com/open-webui/open-webui
synced 2024-11-24 21:13:59 +00:00
99 lines
2.8 KiB
Python
99 lines
2.8 KiB
Python
from typing import Any, Dict, Generator, List, Optional, Sequence, Union
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from urllib.parse import parse_qs, urlparse
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from langchain_core.documents import Document
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ALLOWED_SCHEMES = {"http", "https"}
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ALLOWED_NETLOCS = {
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"youtu.be",
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"m.youtube.com",
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"youtube.com",
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"www.youtube.com",
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"www.youtube-nocookie.com",
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"vid.plus",
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}
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def _parse_video_id(url: str) -> Optional[str]:
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"""Parse a YouTube URL and return the video ID if valid, otherwise None."""
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parsed_url = urlparse(url)
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if parsed_url.scheme not in ALLOWED_SCHEMES:
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return None
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if parsed_url.netloc not in ALLOWED_NETLOCS:
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return None
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path = parsed_url.path
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if path.endswith("/watch"):
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query = parsed_url.query
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parsed_query = parse_qs(query)
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if "v" in parsed_query:
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ids = parsed_query["v"]
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video_id = ids if isinstance(ids, str) else ids[0]
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else:
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return None
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else:
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path = parsed_url.path.lstrip("/")
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video_id = path.split("/")[-1]
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if len(video_id) != 11: # Video IDs are 11 characters long
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return None
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return video_id
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class YoutubeLoader:
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"""Load `YouTube` video transcripts."""
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def __init__(
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self,
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video_id: str,
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language: Union[str, Sequence[str]] = "en",
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):
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"""Initialize with YouTube video ID."""
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_video_id = _parse_video_id(video_id)
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self.video_id = _video_id if _video_id is not None else video_id
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self._metadata = {"source": video_id}
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self.language = language
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if isinstance(language, str):
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self.language = [language]
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else:
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self.language = language
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def load(self) -> List[Document]:
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"""Load YouTube transcripts into `Document` objects."""
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try:
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from youtube_transcript_api import (
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NoTranscriptFound,
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TranscriptsDisabled,
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YouTubeTranscriptApi,
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)
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except ImportError:
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raise ImportError(
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'Could not import "youtube_transcript_api" Python package. '
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"Please install it with `pip install youtube-transcript-api`."
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)
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try:
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transcript_list = YouTubeTranscriptApi.list_transcripts(self.video_id)
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except Exception as e:
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print(e)
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return []
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try:
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transcript = transcript_list.find_transcript(self.language)
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except NoTranscriptFound:
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transcript = transcript_list.find_transcript(["en"])
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transcript_pieces: List[Dict[str, Any]] = transcript.fetch()
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transcript = " ".join(
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map(
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lambda transcript_piece: transcript_piece["text"].strip(" "),
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transcript_pieces,
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)
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)
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return [Document(page_content=transcript, metadata=self._metadata)]
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