File size: 2,183 Bytes
9fb76f8 | 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 56 57 58 59 60 61 62 63 64 65 66 67 68 | # chat.py
import argparse
import os
from model_utils import SkinGPTModel
def main():
parser = argparse.ArgumentParser(description="SkinGPT-R1 Multi-turn Chat")
parser.add_argument("--model_path", type=str, default="../checkpoint")
parser.add_argument("--image", type=str, required=True, help="Path to initial image")
args = parser.parse_args()
# 初始化模型
bot = SkinGPTModel(args.model_path)
# 初始化对话历史
# 系统提示词
system_prompt = "You are a professional AI dermatology assistant. Analyze the skin condition carefully."
# 构造第一条包含图片的消息
if not os.path.exists(args.image):
print(f"Error: Image {args.image} not found.")
return
history = [
{
"role": "user",
"content": [
{"type": "image", "image": args.image},
{"type": "text", "text": f"{system_prompt}\n\nPlease analyze this image."}
]
}
]
print("\n=== SkinGPT-R1 Chat (Type 'exit' to quit) ===")
print(f"Image loaded: {args.image}")
# 获取第一轮诊断
print("\nModel is thinking...", end="", flush=True)
response = bot.generate_response(history)
print(f"\rAssistant: {response}\n")
# 将助手的回复加入历史
history.append({"role": "assistant", "content": [{"type": "text", "text": response}]})
# 进入多轮对话循环
while True:
try:
user_input = input("User: ")
if user_input.lower() in ["exit", "quit"]:
break
if not user_input.strip():
continue
# 加入用户的新问题
history.append({"role": "user", "content": [{"type": "text", "text": user_input}]})
print("Model is thinking...", end="", flush=True)
response = bot.generate_response(history)
print(f"\rAssistant: {response}\n")
# 加入助手的新回复
history.append({"role": "assistant", "content": [{"type": "text", "text": response}]})
except KeyboardInterrupt:
break
if __name__ == "__main__":
main() |