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1111.txt

@@ -1 +1,27 @@
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+import gradio as gr
+from openmind import AutoModelForCausalLM, AutoTokenizer
+from transformers.generation.utils import GenerationConfig 
+import torch
+
+def load_model():
+    device = 'npu:0'
+    model_path = "Baichuan/Baichuan2_7b_chat_pt"
+    tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
+    model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16, trust_remote_code=True).to(device)
+    model.generation_config = GenerationConfig.from_pretrained(model_path)
+    return model, tokenizer
+
+def chat(content, history):
+    messages = []
+    messages.append({"role": "user", "content": content})
+    response = model.chat(tokenizer, messages)
+    return response
+  
+if __name__ == "__main__":
+    model, tokenizer = load_model()
+    gr.ChatInterface(chat,
+                    title="Baichuan2_7B 对话",
+                    description="Baichuan 2 是百川智能推出的新一代开源大语言模型，采�?2.6 万亿 Tokens 的高质量语料训练，欢迎体验baichuan2_chat_7B模型�?,
+                    examples=['解释一下“温故而知�?, '请制定一份杭州一日游计划']
+                 ).queue().launch(debug=True) 1
+1111