#!/usr/bin/python
# -*- coding: utf-8 -*-

from pathlib import Path
import torch

# -->> Tunables <<---------------------


# -->> Definitions <<------------------

# Repository root directory
ROOT_DIR = Path(__file__).resolve().parent.parent

# Media folder
MEDIA_DIR = ROOT_DIR / "RESULTS" / "Media"

# Media subfolders
AUDIO_DIR = MEDIA_DIR / "Audios"
VIDEOS_DIR = MEDIA_DIR / "Videos"
TRANSCRIPTS_DIR = MEDIA_DIR / "Transcriptions"

# File extensions
AUDIO_EXT = ".mp3"
TEXT_EXT = ".txt"

# Model parameters
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
BATCH_SIZE = 16

if DEVICE == "cuda":
    COMPUTE_TYPE = "float16"
else:
    COMPUTE_TYPE = "int8"

print("Using device:", DEVICE)
# -->> API <<--------------------------


# -->> Execute <<----------------------


# -->> Export <<-----------------------