Files
AstrAI/scripts/demo/generate_ar.py
T
ViperEkura e13fe53475 refactor: assemble inference engines through a shared composition root
- add build_engine() to astrai.inference.engine as the single load-place-wire path for InferenceEngine, accepting a checkpoint path or live model/tokenizer plus passthrough engine kwargs
- migrate the server lifespan, generate CLI, humaneval/ifeval evals, and all three demos to build_engine; app._create_engine collapses into a direct call
- export build_engine from astrai and astrai.inference
- parameterize the autoregressive demo with --prompt one-shot continuation plus model path and sampling knobs, exiting cleanly on !exit or EOF
- cover the composition root with unit tests for live-object assembly, kwargs passthrough, and argument validation
2026-09-03 22:16:56 +08:00

69 lines
1.7 KiB
Python

from argparse import ArgumentParser
from pathlib import Path
from astrai.inference import build_engine
PROJECT_ROOT = Path(__file__).resolve().parents[2]
PARAMETER_ROOT = Path(PROJECT_ROOT, "params")
def parse_args():
parser = ArgumentParser(
description="Autoregressive continuation demo: continue a prompt, "
"or drop into interactive mode without one"
)
parser.add_argument(
"--prompt",
type=str,
default=None,
help="Text prefix to continue; omit to enter interactive mode",
)
parser.add_argument(
"--model_path",
type=Path,
default=PARAMETER_ROOT,
help="Path to model weights",
)
parser.add_argument("--max_tokens", type=int, default=2048)
parser.add_argument("--temperature", type=float, default=0.8)
parser.add_argument("--top_p", type=float, default=0.95)
parser.add_argument("--top_k", type=int, default=50)
return parser.parse_args()
def run_once(engine, prompt, args):
print(prompt, end="", flush=True)
for token in engine.generate(
prompt=prompt,
stream=True,
max_tokens=args.max_tokens,
temperature=args.temperature,
top_p=args.top_p,
top_k=args.top_k,
):
print(token, end="", flush=True)
print()
def main():
args = parse_args()
engine = build_engine(args.model_path)
if args.prompt is not None:
run_once(engine, args.prompt, args)
return
while True:
try:
query = input(">> ")
except EOFError:
break
if query == "!exit":
break
if query:
run_once(engine, query, args)
if __name__ == "__main__":
main()