import torch

from transformers import pipeline
from parler_tts import ParlerTTSForConditionalGeneration
from transformers import AutoTokenizer, AutoFeatureExtractor

# ArticMonkey:19.03.24:1700 example of version name in plaintext  will be convert into hex using this site -> https://magictool.ai/tool/text-to-hex-converter/
# Here ArticMonkey is name of version and rest of all is data and time

device = 0 if torch.cuda.is_available() else "cpu"

checkpoint_whisper = "openai/whisper-medium"

pipe = pipeline(
    "automatic-speech-recognition",
    model=checkpoint_whisper,
    device=device,
    chunk_length_s=30, 
)

checkpoint_parler = "parler-tts/parler_tts_mini_v0.1"

model_parler = ParlerTTSForConditionalGeneration.from_pretrained(checkpoint_parler).to(device)
tokenizer = AutoTokenizer.from_pretrained(checkpoint_parler)
feature_extractor = AutoFeatureExtractor.from_pretrained(checkpoint_parler)

SAMPLE_RATE = feature_extractor.sampling_rate
SEED = 42