2023-05-21 23:43:11 +00:00
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import subprocess
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from pathlib import Path
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import requests
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from tqdm import tqdm
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class Install:
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def __init__(self, api):
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# Get the current directory
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current_dir = Path(__file__).resolve().parent
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install_file = current_dir / ".installed"
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if not install_file.exists():
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2023-05-25 21:24:14 +00:00
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print("-------------- GPT4All binding by nomic-ai -------------------------------")
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print("This is the first time you are using this binding.")
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2023-05-21 23:43:11 +00:00
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print("Installing ...")
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2023-05-22 10:27:45 +00:00
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"""
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2023-05-21 23:43:11 +00:00
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try:
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print("Checking pytorch")
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import torch
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import torchvision
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if torch.cuda.is_available():
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print("CUDA is supported.")
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else:
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print("CUDA is not supported. Reinstalling PyTorch with CUDA support.")
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self.reinstall_pytorch_with_cuda()
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except Exception as ex:
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2023-05-22 10:27:45 +00:00
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self.reinstall_pytorch_with_cuda()
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"""
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2023-05-21 23:43:11 +00:00
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# Step 2: Install dependencies using pip from requirements.txt
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requirements_file = current_dir / "requirements.txt"
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subprocess.run(["pip", "install", "--no-cache-dir", "-r", str(requirements_file)])
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# Create ther models folder
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models_folder = Path("./models/c_transformers")
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models_folder.mkdir(exist_ok=True, parents=True)
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#Create the install file
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with open(install_file,"w") as f:
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f.write("ok")
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print("Installed successfully")
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def reinstall_pytorch_with_cuda(self):
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subprocess.run(["pip", "install", "torch", "torchvision", "torchaudio", "--no-cache-dir", "--index-url", "https://download.pytorch.org/whl/cu117"])
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