Download tests/utils.py from ariel0330/h2osiri: direct link, hf CLI and curl.
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https://huggingface.co/spaces/ariel0330/h2osiri/resolve/main/tests/utils.py
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hf download hf://spaces/ariel0330/h2osiri/tests/utils.py
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curl -L -o utils.py https://huggingface.co/spaces/ariel0330/h2osiri/resolve/main/tests/utils.py
2.01 kB
| import os | |
| import sys | |
| import shutil | |
| from functools import wraps, partial | |
| if os.path.dirname('src') not in sys.path: | |
| sys.path.append('src') | |
| from src.utils import call_subprocess_onetask, makedirs | |
| def wrap_test_forked(func): | |
| """Decorate a function to test, call in subprocess""" | |
| def f(*args, **kwargs): | |
| func_new = partial(call_subprocess_onetask, func, args, kwargs) | |
| return run_test(func_new) | |
| return f | |
| def run_test(func, *args, **kwargs): | |
| return func(*args, **kwargs) | |
| def make_user_path_test(): | |
| import os | |
| import shutil | |
| user_path = 'user_path_test' | |
| if os.path.isdir(user_path): | |
| shutil.rmtree(user_path) | |
| os.makedirs(user_path) | |
| db_dir = "db_dir_UserData" | |
| if os.path.isdir(db_dir): | |
| shutil.rmtree(db_dir) | |
| shutil.copy('data/pexels-evg-kowalievska-1170986_small.jpg', user_path) | |
| shutil.copy('README.md', user_path) | |
| shutil.copy('docs/FAQ.md', user_path) | |
| return user_path | |
| def get_llama(llama_type=2): | |
| from huggingface_hub import hf_hub_download | |
| # default should match .env_gpt4all | |
| if llama_type == 1: | |
| file = 'ggml-model-q4_0_7b.bin' | |
| dest = 'models/7B/' | |
| prompt_type = 'plain' | |
| elif llama_type == 2: | |
| file = 'WizardLM-7B-uncensored.ggmlv3.q8_0.bin' | |
| dest = './' | |
| prompt_type = 'wizard2' | |
| else: | |
| raise ValueError("unknown llama_type=%s" % llama_type) | |
| makedirs(dest, exist_ok=True) | |
| full_path = os.path.join(dest, file) | |
| if not os.path.isfile(full_path): | |
| # True for case when locally already logged in with correct token, so don't have to set key | |
| token = os.getenv('HUGGINGFACE_API_TOKEN', True) | |
| out_path = hf_hub_download('h2oai/ggml', file, token=token, repo_type='model') | |
| # out_path will look like '/home/jon/.cache/huggingface/hub/models--h2oai--ggml/snapshots/57e79c71bb0cee07e3e3ffdea507105cd669fa96/ggml-model-q4_0_7b.bin' | |
| shutil.copy(out_path, dest) | |
| return prompt_type | |