75 lines
2.5 KiB
Plaintext
75 lines
2.5 KiB
Plaintext
from pytube import YouTube
|
|
import os
|
|
import sys
|
|
from loguru import logger
|
|
from openai import OpenAI
|
|
from tenacity import (
|
|
retry,
|
|
stop_after_attempt,
|
|
wait_random_exponential,
|
|
) # for exponential backoff
|
|
|
|
|
|
@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))
|
|
def speech_to_text(video_url, output_path='.'):
|
|
"""
|
|
Transcribes speech to text from a YouTube video URL using OpenAI's Whisper model.
|
|
|
|
Args:
|
|
video_url (str): URL of the YouTube video to transcribe.
|
|
output_path (str, optional): Directory where the audio file will be saved. Defaults to '.'.
|
|
|
|
Returns:
|
|
str: The transcribed text from the video.
|
|
|
|
Raises:
|
|
SystemExit: If a critical error occurs that prevents successful execution.
|
|
"""
|
|
try:
|
|
logger.info(f"Accessing YouTube URL: {video_url}")
|
|
yt = YouTube(video_url)
|
|
|
|
logger.info("Fetching the highest quality audio stream")
|
|
audio_stream = yt.streams.filter(only_audio=True).first()
|
|
|
|
if audio_stream is None:
|
|
logger.warning("No audio stream found for this video.")
|
|
return None
|
|
|
|
logger.info(f"Downloading audio for: {yt.title}")
|
|
audio_file = audio_stream.download(output_path)
|
|
logger.info(f"Audio downloaded: {yt.title} to {output_path}")
|
|
|
|
# Checking file size
|
|
max_file_size = 24 * 1024 * 1024 # 24MB
|
|
logger.info(f"Downloaded Audio Size is: {max_file_size}")
|
|
file_size = os.path.getsize(audio_file)
|
|
if file_size > max_file_size:
|
|
logger.error("File size exceeds 24MB limit.")
|
|
sys.exit("File size limit exceeded.")
|
|
|
|
try:
|
|
logger.info("Initializing OpenAI client for transcription.")
|
|
client = OpenAI(api_key=os.getenv('OPENAI_API_KEY'))
|
|
|
|
logger.info("Transcribing using OpenAI's Whisper model.")
|
|
transcript = client.audio.transcriptions.create(
|
|
model="whisper-1",
|
|
file=open(audio_file, "rb"),
|
|
response_format="text"
|
|
)
|
|
return transcript, yt.title
|
|
|
|
except Exception as e:
|
|
logger.error(f"Failed in Whisper transcription: {e}")
|
|
sys.exit("Transcription failure.")
|
|
|
|
except Exception as e:
|
|
logger.error(f"An error occurred during YouTube video processing: {e}")
|
|
sys.exit("Video processing failure.")
|
|
|
|
finally:
|
|
if os.path.exists(audio_file):
|
|
os.remove(audio_file)
|
|
logger.info("Temporary audio file removed.")
|