A dependency-free, code-less socket-based solution for resolving environment incompatibilities
Project description
A dependency-free, code-less socket-based solution for resolving (Python / conda) environment incompatibilities.
Usage Guidelines
Installation:
To install the inincompatibility package, run:
pip install inincompatibility
Example: Making Your LLMs Callable Like an API:
First, make your LLMs (e.g., Llama-3.2-1B) callable functions:
# your_llm.py
import torch
from transformers import pipeline as pl
m = "meta-llama/Llama-3.2-1B"
p = pl("text-generation", model=m, device="cuda")
def llm_qa(msg: list) -> dict:
return p(msg)[0]["generated_text"]
Next, create another Python file (e.g., to_import_ori.py) to import the LLM function:
# to_import_ori.py
from your_llm import llm_qa
Then, use the inincompatibility CLI to generate the necessary importable code and then run the LLM in its (Python / conda) environment:
conda activate llama
pip install inincompatibility
python -m inincompatibility -i to_import_ori.py -o to_import.py
A file named to_import.py (specified by the -o argument) will be generated as follows:
# Generated by `inincompatibility`.
# **Not** depend on `incompatibility`. :)
# You can directly `import` this file in another environment.
import socket
import pickle
BUFFER_SIZE = 65536
client = socket.socket(2, socket.SOCK_STREAM)
client.connect(('127.0.0.1', 57849))
def _func_eval(func, args, kwargs):
data = pickle.dumps((func, args, kwargs))
client.sendall(data)
return pickle.loads(client.recv(BUFFER_SIZE))
def _inincompatibility_remote_eval(*args, **kwargs):
return _func_eval('_inincompatibility_remote_eval', args, kwargs)
def _inincompatibility_remote_exec(*args, **kwargs):
return _func_eval('_inincompatibility_remote_exec', args, kwargs)
def llm_qa(*args, **kwargs):
return _func_eval('llm_qa', args, kwargs)
Now, you can directly import the generated code in another (Python / conda) environment:
# main.py
from to_import import llm_qa
print(llm_qa('The key to life is'))
Run your main script (e.g., main.py) in the target environment:
conda activate blackbox
python main.py
For more details, check out the sample-llama directory on GitHub.
Example: Additional Samples:
For more usage examples, visit the sample-local directory on GitHub.
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