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| import modal | |
| # Print debug information | |
| print("Importing Modal and setting up the app...") | |
| # Define a custom image with Python and some dependencies | |
| print("Building custom image...") | |
| image = ( | |
| modal.Image.debian_slim(python_version="3.11") # Base image | |
| .pip_install( | |
| "numpy", | |
| "pandas", | |
| "diffusers", | |
| "transformers", | |
| "torch", | |
| "accelerate", | |
| "gradio", | |
| "safetensors", | |
| "pillow", | |
| ) # Install Python packages | |
| .run_commands("echo 'Image build complete!'") # Run a shell command | |
| ) | |
| # Define a function to run inside the container | |
| #@app.function(image=image) | |
| # Define the Modal app | |
| app = modal.App("functions-app") | |
| def message_func (message = "default"): | |
| print("message function") | |
| new_message = message + " ok, it works!" | |
| return new_message | |
| def main(): | |
| # Import libraries and print their versions | |
| # import numpy as np | |
| # import pandas as pd | |
| # import torch | |
| # import diffusers | |
| # import transformers | |
| # import gradio as gr | |
| # from PIL import Image as PILImage | |
| # print("def main function") | |
| # print("Hello from Modal!") | |
| # print("NumPy version:", np.__version__) | |
| # print("Pandas version:", pd.__version__) | |
| # print("PyTorch version:", torch.__version__) | |
| # print("Diffusers version:", diffusers.__version__) # Corrected: Use the library's __version__ | |
| # print("Transformers version:", transformers.__version__) # Corrected: Use the library's __version__ | |
| # print("Gradio version:", gr.__version__) | |
| # print("Pillow version:", PILImage.__version__) | |
| remote_message = "remote message!" | |
| local_message = "local message" | |
| message_func.remote(remote_message) | |
| message_func.local(local_message) | |
| # # # Run the function locally (for testing) | |
| # if __name__ == "__main__": | |
| # print("Running the function locally...") | |
| # main.local() | |
| # main.remote() | |