"""
Pre-download the model to ensure it's available during app startup.
This script should be run before launching the app.
"""

import os
import torch
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor

# Set cache directories
os.environ["TRANSFORMERS_CACHE"] = "/tmp/transformers_cache"
os.environ["HF_HOME"] = "/tmp/hf_home"
os.environ["HUGGINGFACE_HUB_CACHE"] = "/tmp/hf_hub_cache"

# Create cache directories
for cache_dir in ["/tmp/transformers_cache", "/tmp/hf_home", "/tmp/hf_hub_cache"]:
    os.makedirs(cache_dir, exist_ok=True)

# Model configuration
MODEL_NAME = "openai/whisper-large-v3-turbo"
device = "cuda:0" if torch.cuda.is_available() else "cpu"
torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32

print("Pre-downloading model to cache...")
print(f"Using device: {device}")
print(f"Using dtype: {torch_dtype}")

try:
    # Download model
    model = AutoModelForSpeechSeq2Seq.from_pretrained(
        MODEL_NAME, 
        torch_dtype=torch_dtype, 
        low_cpu_mem_usage=True, 
        use_safetensors=True,
        cache_dir="/tmp/transformers_cache",
    )
    print("Model downloaded successfully!")
    
    # Download processor
    processor = AutoProcessor.from_pretrained(
        MODEL_NAME,
        cache_dir="/tmp/transformers_cache",
    )
    print("Processor downloaded successfully!")
    
    print("Pre-download complete! Model is ready for use.")
except Exception as e:
    print(f"Error during pre-download: {e}")
    raise