Update README.md

README.md

@@ -14,12 +14,14 @@ pipeline_tag: text2text-generation
 
     from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
     import torch
+    
     tokenizer = AutoTokenizer.from_pretrained("baichuan7b-lora-merged", trust_remote_code=True)
     model = AutoModelForCausalLM.from_pretrained("baichuan7b-lora-merged", device_map="auto", trust_remote_code=True,torch_dtype=torch.float16)
     streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
-    
-    query = "爆炒钢筋水泥怎么做才好吃？"
-    
-    inputs = tokenizer(["<human>:{}\n<bot>:".format(query)], return_tensors="pt")
-    inputs = inputs.to("cuda")
-    generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)
+    while True:
+        query = input('请输入问题:')
+        if len(query.strip()) == 0:
+            break
+        inputs = tokenizer(["<human>:{}\n<bot>:".format(query)], return_tensors="pt")
+        inputs = inputs.to("cuda")
+        generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)