43 lines
956 B
Python
43 lines
956 B
Python
from pathlib import Path
|
|
|
|
import torch
|
|
|
|
from astrai.config.param_config import ModelParameter
|
|
from astrai.inference import InferenceEngine
|
|
|
|
PROJECT_ROOT = Path(__file__).resolve().parents[2]
|
|
PARAMETER_ROOT = Path(PROJECT_ROOT, "params")
|
|
|
|
|
|
def chat():
|
|
param = ModelParameter.load(PARAMETER_ROOT, disable_init=True)
|
|
param.to(device="cuda", dtype=torch.bfloat16)
|
|
|
|
history = []
|
|
engine = InferenceEngine(param)
|
|
|
|
while True:
|
|
query = input(">> ")
|
|
if query == "!exit":
|
|
break
|
|
|
|
full_response = ""
|
|
|
|
for token in engine.generate(
|
|
prompt=query,
|
|
stream=True,
|
|
max_tokens=param.config.max_len,
|
|
temperature=0.8,
|
|
top_p=0.95,
|
|
top_k=50,
|
|
):
|
|
print(token, end="", flush=True)
|
|
full_response += token
|
|
|
|
print()
|
|
history.append((query, full_response.strip()))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
chat()
|