[links]
secret_api_id = '11sWWmdEPLG1hB3BAYPtFDjLgI8yqNF-k'
secret_prompt_id = '1s5r_DuxaEoMk-D5-53FVhTMeHGVtoeV7'

[paths]
output_dir = 'output'  # directory to store intermediate and final files
temp_dir = 'temp_processing'  # temporary working directory

[models]
whisper_model = 'turbo'  # options: tiny, base, small, medium, large (add .en for English-only)
# ocr_languages_easyocr = ["ru"]  # languages for EasyOCR
# summarization_model = "facebook/bart-large-cnn"  # example summarization model
# summarization_model = "google/pegasus-xsum"  # example summarization model (smaller, faster for abstracts)
# summarization_model = "ai-forever/ruT5-large"  # example summarization model (smaller, faster for abstracts)


[settings]
frame_extraction_interval = 5  # extract one frame every N seconds
max_summary_length = 500  # max length for abstract summary
min_summary_length = 100  # min length for abstract summary