Delete app.py.py

app.py.py

@@ -1,34 +0,0 @@
-import gradio as gr
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-# 加载模型（使用量化版本节省显存）
-model_name = "Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(
-    model_name,
-    device_map="auto",  # 自动分配GPU/CPU
-    torch_dtype="auto"
-)
-
-# 定义生成函数
-def generate_response(message, history):
-    # 格式化对话历史
-    messages = [{"role": "user", "content": message}]
-    text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-    inputs = tokenizer(text, return_tensors="pt").to(model.device)
-    
-    # 生成回复
-    outputs = model.generate(
-        **inputs,
-        max_new_tokens=512,
-        temperature=0.7
-    )
-    response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True)
-    return response
-
-# 启动Gradio界面
-gr.ChatInterface(
-    fn=generate_response,
-    title="Qwen2.5-7B大模型在线演示",
-    description="输入问题后按回车开始对话"
-).launch()