Merge pull request #4372 from JTHesse/main

build: Adding ability to install requirements from frontmatter for tools and functions
This commit is contained in:
Timothy Jaeryang Baek 2024-08-13 18:18:26 +02:00 committed by GitHub
commit 9682806476
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2 changed files with 13 additions and 1 deletions

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@ -1,6 +1,8 @@
from importlib import util
import os
import re
import sys
import subprocess
from config import TOOLS_DIR, FUNCTIONS_DIR
@ -52,6 +54,7 @@ def load_toolkit_module_by_id(toolkit_id):
frontmatter = extract_frontmatter(toolkit_path)
try:
install_frontmatter_requirements(frontmatter.get("requirements", ""))
spec.loader.exec_module(module)
print(f"Loaded module: {module.__name__}")
if hasattr(module, "Tools"):
@ -73,6 +76,7 @@ def load_function_module_by_id(function_id):
frontmatter = extract_frontmatter(function_path)
try:
install_frontmatter_requirements(frontmatter.get("requirements", ""))
spec.loader.exec_module(module)
print(f"Loaded module: {module.__name__}")
if hasattr(module, "Pipe"):
@ -88,3 +92,12 @@ def load_function_module_by_id(function_id):
# Move the file to the error folder
os.rename(function_path, f"{function_path}.error")
raise e
def install_frontmatter_requirements(requirements):
if requirements:
req_list = [req.strip() for req in requirements.split(',')]
for req in req_list:
print(f"Installing requirement: {req}")
subprocess.check_call([sys.executable, "-m", "pip", "install", req])
else:
print("No requirements found in frontmatter.")

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@ -30,7 +30,6 @@ if [[ "${USE_CUDA_DOCKER,,}" == "true" ]]; then
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/lib/python3.11/site-packages/torch/lib:/usr/local/lib/python3.11/site-packages/nvidia/cudnn/lib"
fi
# Check if SPACE_ID is set, if so, configure for space
if [ -n "$SPACE_ID" ]; then
echo "Configuring for HuggingFace Space deployment"