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| from src.gradio_interface import demo | |
| import modal | |
| # Define the Modal image | |
| image = ( | |
| modal.Image.from_registry( | |
| "nvidia/cuda:12.2.0-devel-ubuntu22.04", add_python="3.11" | |
| ) | |
| .pip_install( | |
| "ninja", | |
| "packaging", | |
| "wheel", | |
| "diffusers", # For Stable Diffusion | |
| "transformers", # For Hugging Face models | |
| "torch>=2.0.1", # PyTorch with a minimum version | |
| "accelerate", # For distributed training/inference | |
| "gradio", # For the Gradio interface | |
| "safetensors", # For safe model loading | |
| "pillow", # For image processing | |
| "datasets", # For datasets (if needed) | |
| ) | |
| ) | |
| # Create a Modal app | |
| app = modal.App("ctb-image-generator", image=image) | |
| # Debug function to check installed packages | |
| def check_dependencies(): | |
| import importlib | |
| packages = [ | |
| "diffusers", # For Stable Diffusion | |
| "transformers", # For Hugging Face models | |
| "torch", # PyTorch | |
| "accelerate", # For distributed training/inference | |
| "gradio>=4.44.1", # For the Gradio interface (updated to latest version) | |
| "safetensors", # For safe model loading | |
| "pillow", # For image processing | |
| ] | |
| for package in packages: | |
| try: | |
| module = importlib.import_module(package) | |
| print(f"✅ {package} is installed. Version: {module.__version__}") | |
| except ImportError: | |
| print(f"❌ {package} is NOT installed.") | |
| def main(): | |
| print("🚀 Starting Modal app...") | |
| with modal.enable_output(): | |
| print("🔍 Running debug check...") | |
| check_dependencies() | |
| print("🎨 Launching Gradio interface...") | |
| demo.launch() | |
| with modal.enable_output(): | |
| demo.launch() | |
| if __name__ == "__main__": | |
| main() |