mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-05 06:20:10 +01:00
56 lines
2.7 KiB
Python
56 lines
2.7 KiB
Python
|
import os, json
|
||
|
|
from youtube_transcript_api import YouTubeTranscriptApi
|
||
|
|
from youtube_transcript_api.formatters import TextFormatter, JSONFormatter
|
||
|
|
from .utils import tokenize, ada_v2_cost
|
||
|
|
from .yt_utils import fetch_channel_video_information, get_channel_id, clean_text, append_meta, get_duration
|
||
|
|
from alive_progress import alive_it
|
||
|
|
|
||
|
|
# Example Channel URL https://www.youtube.com/channel/UCmWbhBB96ynOZuWG7LfKong
|
||
|
|
# Example Channel URL https://www.youtube.com/@mintplex
|
||
|
|
|
||
|
|
def youtube():
|
||
|
|
channel_link = input("Paste in the URL of a YouTube channel: ")
|
||
|
|
channel_id = get_channel_id(channel_link)
|
||
|
|
|
||
|
|
if channel_id == None or len(channel_id) == 0:
|
||
|
|
print("Invalid input - must be full YouTube channel URL")
|
||
|
|
exit(1)
|
||
|
|
|
||
|
|
channel_data = fetch_channel_video_information(channel_id)
|
||
|
|
transaction_output_dir = f"../server/documents/youtube-{channel_data.get('channelTitle')}"
|
||
|
|
|
||
|
|
if os.path.isdir(transaction_output_dir) == False:
|
||
|
|
os.makedirs(transaction_output_dir)
|
||
|
|
|
||
|
|
print(f"\nFetching transcripts for {len(channel_data.get('items'))} videos - please wait.\nStopping and restarting will not refetch known transcripts in case there is an error.\nSaving results to: {transaction_output_dir}.")
|
||
|
|
totalTokenCount = 0
|
||
|
|
for video in alive_it(channel_data.get('items')):
|
||
|
|
video_file_path = transaction_output_dir + f"/video-{video.get('id')}.json"
|
||
|
|
if os.path.exists(video_file_path) == True:
|
||
|
|
continue
|
||
|
|
|
||
|
|
formatter = TextFormatter()
|
||
|
|
json_formatter = JSONFormatter()
|
||
|
|
try:
|
||
|
|
transcript = YouTubeTranscriptApi.get_transcript(video.get('id'))
|
||
|
|
raw_text = clean_text(formatter.format_transcript(transcript))
|
||
|
|
duration = get_duration(json_formatter.format_transcript(transcript))
|
||
|
|
|
||
|
|
if(len(raw_text) > 0):
|
||
|
|
fullText = append_meta(video, duration, raw_text)
|
||
|
|
tokenCount = len(tokenize(fullText))
|
||
|
|
video['pageContent'] = fullText
|
||
|
|
video['token_count_estimate'] = tokenCount
|
||
|
|
totalTokenCount += tokenCount
|
||
|
|
with open(video_file_path, 'w', encoding='utf-8') as file:
|
||
|
|
json.dump(video, file, ensure_ascii=True, indent=4)
|
||
|
|
except:
|
||
|
|
print("There was an issue getting the transcription of a video in the list - likely because captions are disabled. Skipping")
|
||
|
|
continue
|
||
|
|
|
||
|
|
print(f"[Success]: {len(channel_data.get('items'))} video transcripts fetched!")
|
||
|
|
print(f"\n\n////////////////////////////")
|
||
|
|
print(f"Your estimated cost to embed all of this data using OpenAI's text-embedding-ada-002 model at $0.0004 / 1K tokens will cost {ada_v2_cost(totalTokenCount)} using {totalTokenCount} tokens.")
|
||
|
|
print(f"////////////////////////////\n\n")
|
||
|
|
exit(0)
|