feat: 实现模型动态注册机制

scripts/demo/stream_chat.py

@@ -1,32 +1,39 @@
 from pathlib import Path
 
 import torch
-
-from astrai.config.param_config import ModelParameter
 from astrai.inference import InferenceEngine
+from astrai.model import AutoModel
+from astrai.tokenize import AutoTokenizer
+
 
 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)
+    model = AutoModel.from_pretrained(PARAMETER_ROOT)
+    tokenizer = AutoTokenizer.from_pretrained(PARAMETER_ROOT)
+    model.to(device="cuda", dtype=torch.bfloat16)
 
-    history = []
-    engine = InferenceEngine(param)
+    messages = []
+    engine = InferenceEngine(model=model, tokenizer=tokenizer)
 
     while True:
         query = input(">> ")
         if query == "!exit":
             break
 
+        # Add user message
+        messages.append({"role": "user", "content": query})
+
+        # Generate response
         full_response = ""
+        prompt = tokenizer.apply_chat_template(messages, tokenize=False)
 
         for token in engine.generate(
-            prompt=query,
+            prompt=prompt,
             stream=True,
-            max_tokens=param.config.max_len,
+            max_tokens=model.config.max_len,
             temperature=0.8,
             top_p=0.95,
             top_k=50,
@@ -35,7 +42,8 @@ def chat():
             full_response += token
 
         print()
-        history.append((query, full_response.strip()))
+        # Add assistant response to messages
+        messages.append({"role": "assistant", "content": full_response.strip()})
 
 
 if __name__ == "__main__":