2023-05-21 23:31:42 +00:00
|
|
|
import subprocess
|
|
|
|
|
from pathlib import Path
|
|
|
|
|
import requests
|
|
|
|
|
from tqdm import tqdm
|
|
|
|
|
|
|
|
|
|
class Install:
|
|
|
|
|
def __init__(self, api):
|
|
|
|
|
# Get the current directory
|
|
|
|
|
current_dir = Path(__file__).resolve().parent
|
|
|
|
|
install_file = current_dir / ".installed"
|
|
|
|
|
|
|
|
|
|
if not install_file.exists():
|
|
|
|
|
print("-------------- GPTj backend by abdeladim -------------------------------")
|
|
|
|
|
print("This is the first time you are using this backend.")
|
|
|
|
|
print("Installing ...")
|
|
|
|
|
try:
|
|
|
|
|
print("Checking pytorch")
|
|
|
|
|
import torch
|
|
|
|
|
import torchvision
|
|
|
|
|
if torch.cuda.is_available():
|
|
|
|
|
print("CUDA is supported.")
|
|
|
|
|
else:
|
|
|
|
|
print("CUDA is not supported. Reinstalling PyTorch with CUDA support.")
|
|
|
|
|
self.reinstall_pytorch_with_cuda()
|
|
|
|
|
except Exception as ex:
|
|
|
|
|
self.reinstall_pytorch_with_cuda()
|
|
|
|
|
# Step 2: Install dependencies using pip from requirements.txt
|
|
|
|
|
requirements_file = current_dir / "requirements.txt"
|
|
|
|
|
subprocess.run(["pip", "install", "--no-cache-dir", "-r", str(requirements_file)])
|
2023-05-21 23:43:11 +00:00
|
|
|
|
|
|
|
|
# Create ther models folder
|
|
|
|
|
models_folder = Path("./models/c_transformers")
|
|
|
|
|
models_folder.mkdir(exist_ok=True, parents=True)
|
|
|
|
|
|
|
|
|
|
#Create the install file
|
|
|
|
|
|
2023-05-21 23:31:42 +00:00
|
|
|
with open(install_file,"w") as f:
|
|
|
|
|
f.write("ok")
|
|
|
|
|
print("Installed successfully")
|
|
|
|
|
|
|
|
|
|
def reinstall_pytorch_with_cuda(self):
|
|
|
|
|
subprocess.run(["pip", "install", "torch", "torchvision", "torchaudio", "--no-cache-dir", "--index-url", "https://download.pytorch.org/whl/cu117"])
|
|
|
|
|
|
