# /// script # requires-python = ">=3.12" # dependencies = [ # "numpy", # "einops", # "pandas", # "matplotlib", # "protobuf", # "torch", # "sentencepiece", # "torchvision", # "transformers", # "timm", # "diffusers", # "sentence-transformers", # "accelerate", # "peft", # "slack-sdk", # ] # /// try: from inference import Inference, load_image, load_single_mask from huggingface_hub import hf_hub_download path = hf_hub_download("facebook/sam-3d-objects", "pipeline.yaml") inference = Inference(path, compile=False) image = load_image("path_to_image.png") mask = load_single_mask("path_to_mask.png", index=14) output = inference(image, mask) with open('facebook_sam-3d-objects_1.txt', 'w', encoding='utf-8') as f: f.write('Everything was good in facebook_sam-3d-objects_1.txt') except Exception as e: import os from slack_sdk import WebClient client = WebClient(token=os.environ['SLACK_TOKEN']) client.chat_postMessage( channel='#hub-model-metadata-snippets-sprint', text='Problem in ', ) with open('facebook_sam-3d-objects_1.txt', 'a', encoding='utf-8') as f: import traceback f.write('''```CODE: from inference import Inference, load_image, load_single_mask from huggingface_hub import hf_hub_download path = hf_hub_download("facebook/sam-3d-objects", "pipeline.yaml") inference = Inference(path, compile=False) image = load_image("path_to_image.png") mask = load_single_mask("path_to_mask.png", index=14) output = inference(image, mask) ``` ERROR: ''') traceback.print_exc(file=f) finally: from huggingface_hub import upload_file upload_file( path_or_fileobj='facebook_sam-3d-objects_1.txt', repo_id='model-metadata/code_execution_files', path_in_repo='facebook_sam-3d-objects_1.txt', repo_type='dataset', )