post_deploy.sh

#!/bin/bash

# Ensure dependencies are installed
pip install accelerate moviepy numpy

# Move cache to the right location if needed
python -c "from transformers.utils import move_cache; move_cache()"

<<<<<<< HEAD
# Function to check and download the model
check_and_download_model() {
  local model_name=$1
  python -c "
import sys
from diffusers import StableDiffusionPipeline
import torch

try:
    StableDiffusionPipeline.from_pretrained('${model_name}', torch_dtype=torch.float16)
    sys.exit(0)
except Exception as e:
    print(f'Error: {e}', file=sys.stderr)
    sys.exit(1)
"
}

# Function to ensure setup is complete
ensure_setup() {
  install_packages

  local models=("stabilityai/stable-diffusion-2-1-base" "CompVis/stable-diffusion-v1-4" "runwayml/stable-diffusion-v1-5")

  for model in "${models[@]}"
  do
    echo "Checking model: ${model}"
    if check_and_download_model ${model}; then
      echo "Model ${model} is ready."
      export MODEL_NAME=${model}
      return 0
=======
# Install necessary Python packages
pip install transformers gradio torch

# Retry loop for launching the Gradio interface
while true; do
    python gradio_interface_extended.py
    if [ $? -eq 0 ]; then
        echo "Gradio interface started successfully."
        break
>>>>>>> cd0bb518 (Update render.yaml and post_deploy.sh for enhanced deployment)
    else
        echo "Gradio interface failed to start. Retrying in 10 seconds..."
        sleep 10
    fi
done