File size: 1,390 Bytes
52a881a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | from __future__ import annotations
import argparse
from pathlib import Path
try:
from .model_utils import (
DEFAULT_MODEL_PATH,
SkinGPTModel,
build_single_turn_messages,
resolve_model_path,
)
except ImportError:
from model_utils import (
DEFAULT_MODEL_PATH,
SkinGPTModel,
build_single_turn_messages,
resolve_model_path,
)
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="SkinGPT-R1 full-precision single inference")
parser.add_argument("--image", type=str, required=True, help="Path to the image")
parser.add_argument("--model_path", type=str, default=DEFAULT_MODEL_PATH)
parser.add_argument(
"--prompt",
type=str,
default="Please analyze this skin image and provide a diagnosis.",
)
return parser
def main() -> None:
args = build_parser().parse_args()
if not Path(args.image).exists():
print(f"Error: Image not found at {args.image}")
return
model = SkinGPTModel(resolve_model_path(args.model_path))
messages = build_single_turn_messages(args.image, args.prompt)
print(f"\nAnalyzing {args.image}...")
response = model.generate_response(messages)
print("-" * 40)
print("Result:")
print(response)
print("-" * 40)
if __name__ == "__main__":
main()
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