Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# 加载模型和分词器
+model_name = "taide/Llama3-TAIDE-LX-8B-Chat-Alpha1"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
+
+# 定义推理函数
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# 创建 Gradio 界面
+interface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="Llama3 Chatbot",
+    description="与 Llama3-TAIDE-LX-8B-Chat-Alpha1 交谈"
+)
+
+# 启动 Gradio 应用
+interface.launch()