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yt_video_summarizer.py

from urllib.parse import parse_qs, urlparse
from googleapiclient.discovery import build
from notion.block import TextBlock, HeaderBlock, BulletedListBlock
from youtube_transcript_api import YouTubeTranscriptApi
from hugchat import hugchat
from hugchat.login import Login
from notion.client import NotionClient


# Setting API keys
yt_api_key = "Your_yt_api_key"
huggingface_username = "my_huggingface_username"
huggingface_pwd = "my_huggingface_pwd"

# The video URL
video_url = "https://www.youtube.com/watch?v=h_GTxRFYETY&ab_channel=ThuVudataanalytics"

# Parse the URL
parsed_url = urlparse(video_url)

# Get the query parameters as a dictionary
query_params = parse_qs(parsed_url.query)

# Extract the value of the 'v' parameter
video_id = query_params.get('v')[0]

# Get the transcript for the video
youtube = build('youtube', 'v3', developerKey=yt_api_key)
captions = youtube.captions().list(part='snippet', videoId=video_id).execute()
caption = captions['items'][0]['id']
transcript_list = YouTubeTranscriptApi.get_transcript(video_id, languages=['en'])

transcript_txt = ""

for transcript in transcript_list:
    transcript_txt += transcript['text']

if transcript_txt != "":

    MARKDOWN_PROMPT = f"Give me the response in the markdown format." \
                      f"make sure the summary and action items are simple english that a 5 years old can " \
                      f"understand." \
                      f"Title : <Video Title>" \
                      f"Tags : Categories of the video in csv format, if I got any" \
                      f"Summary : <Summary of the video with Insights>" \
                      f"Action Items : <Action Items upto 5 items, if I got any>. Here is the text that " \
                      f"you need to act on {transcript_txt} "

    # Save cookies to the local directory
    cookie_path_dir = "./cookies_snapshot"

    # Log in to huggingface and grant authorization to huggingchat
    sign = Login(huggingface_username, huggingface_pwd)
    cookies = sign.login(cookie_dir_path=cookie_path_dir, save_cookies=True)

    # Create a ChatBot
    chatbot = hugchat.ChatBot(cookies=cookies.get_dict())

    # Create a new conversation
    chatbot.new_conversation(switch_to=True)  # switch to the new conversation

    # Extract the summary from the response
    query_result = chatbot.query(MARKDOWN_PROMPT, web_search=True)

    # Print the summary
    print(f"Youtube URL: {video_url}")
    print(query_result)
else:
    print("No Transcript Found")