feat(model_manage_page): 实现模型加载和卸载功能

- 添加模型加载和卸载按钮
- 实现模型加载和卸载的逻辑
- 添加相关模块的导入
- 扫描模型目录并显示在下拉框中

frontend/model_manage_page.py

@@ -1,9 +1,73 @@
 import gradio as gr
+import os  # 导入os模块以便扫描文件夹
+import sys
+from pathlib import Path
+from unsloth import FastLanguageModel
+import torch
+
+sys.path.append(str(Path(__file__).resolve().parent.parent))
+from global_var import model,tokenizer
 
 def model_manage_page():
+    workdir = "workdir"  # 假设workdir是当前工作目录下的一个文件夹
+    models_dir = os.path.join(workdir, "models")
+    model_folders = [name for name in os.listdir(models_dir) if os.path.isdir(os.path.join(models_dir, name))]  # 扫描models文件夹下的所有子文件夹
+
     with gr.Blocks() as demo:
         gr.Markdown("## 模型管理")
+        dropdown = gr.Dropdown(choices=model_folders, label="选择模型", interactive=True)  # 将子文件夹列表添加到Dropdown组件中，并设置为可选
+        max_seq_length_input = gr.Number(label="最大序列长度", value=4096, precision=0)
+        load_in_4bit_input = gr.Checkbox(label="使用4位量化", value=True)
         with gr.Row():
-            with gr.Column():
-                pass
+            load_button = gr.Button("加载模型", variant="primary")
+            unload_button = gr.Button("卸载模型", variant="stop")
+        output_text = gr.Textbox(label="操作结果", interactive=False)
+
+        def load_model(selected_model, max_seq_length, load_in_4bit):
+            try:
+                global model, tokenizer
+                # 判空操作，如果模型已加载，则先卸载
+                if model is not None:
+                    unload_model()
+                
+                model_path = os.path.join(models_dir, selected_model)
+                model, tokenizer = FastLanguageModel.from_pretrained(
+                    model_name=model_path,
+                    max_seq_length=max_seq_length,
+                    load_in_4bit=load_in_4bit,
+                )
+                return f"模型 {selected_model} 已加载"
+            except Exception as e:
+                return f"加载模型时出错: {str(e)}"
+
+        load_button.click(fn=load_model, inputs=[dropdown, max_seq_length_input, load_in_4bit_input], outputs=output_text)
+
+        def unload_model():
+            try:
+                global model, tokenizer
+                # 将模型移动到 CPU
+                if model is not None:
+                    model.cpu()
+                
+                # 如果提供了 tokenizer，也将其设置为 None
+                if tokenizer is not None:
+                    tokenizer = None
+                
+                # 清空 CUDA 缓存
+                torch.cuda.empty_cache()
+                
+                # 将模型设置为 None
+                model = None
+
+                return "模型已卸载"
+            except Exception as e:
+                return f"卸载模型时出错: {str(e)}"
+        
+        unload_button.click(fn=unload_model, inputs=None, outputs=output_text)
+
     return demo
+
+if __name__ == "__main__":
+    demo = model_manage_page()
+    demo.queue()
+    demo.launch()