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51 lines (45 loc) · 2.33 KB
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# YouTube Channel Transcription Pipeline - Configuration
# Copy this file to .env and fill in your values:
# cp .env.example .env
# =============================================================================
# REQUIRED: Hugging Face Token
# =============================================================================
# Required for pyannote speaker diarization model
# 1. Get a token at: https://huggingface.co/settings/tokens
# 2. Accept the model agreement at: https://huggingface.co/pyannote/speaker-diarization
HF_TOKEN=
# =============================================================================
# REQUIRED: YouTube Data API Key
# =============================================================================
# Required for fetching video descriptions
# Get one from Google Cloud Console: https://console.cloud.google.com/
# Enable "YouTube Data API v3" and create credentials
YOUTUBE_API_KEY=
# =============================================================================
# REQUIRED: Your YouTube Channel URL
# =============================================================================
# The channel you want to transcribe. Supported formats:
# https://www.youtube.com/@username
# https://www.youtube.com/channel/UCxxxxx
# https://www.youtube.com/c/channelname
YOUTUBE_CHANNEL_URL=
# =============================================================================
# OPTIONAL: Voice Profile Reference
# =============================================================================
# A video where you (the host) are clearly speaking, used to create a voice
# profile so the system can identify you vs guests
# Format: Full YouTube URL
REFERENCE_VIDEO_URL=
# Timestamp where you start speaking (format: M:SS or H:MM:SS)
REFERENCE_START_TIME=0:00
# =============================================================================
# OPTIONAL: OpenAI API Key
# =============================================================================
# Only needed if using Whisper API instead of local Whisper model
# Leave blank to use local Whisper (recommended - free and private)
OPENAI_API_KEY=
# =============================================================================
# OPTIONAL: Host Name for Transcripts
# =============================================================================
# Your name as it should appear in transcripts (for name correction)
HOST_NAME=