ci: Add swanlab initialization and training logging

- Added requirements.txt file to list project dependencies
- Added train.py file to implement basic training logging functionality

requirements.txt

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+# onnx==1.17.0
+torch==2.7.0
+swanlab==0.5.7

train.py

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+import swanlab 
+import random 
+
+# 初始化一个新的swanlab run类来跟踪这个脚本 
+swanlab.init( 
+  # 设置将记录此次运行的项目信息 
+  project="MODNet", 
+  workspace="wudi", 
+  # 跟踪超参数和运行元数据 
+  config={ 
+    "learning_rate": 0.02, 
+    "architecture": "CNN", 
+    "dataset": "CIFAR-100", 
+    "epochs": 10 
+  } 
+) 
+
+# 模拟训练 
+epochs = 10 
+offset = random.random() / 5 
+for epoch in range(2, epochs): 
+  acc = 1 - 2 ** -epoch - random.random() / epoch - offset 
+  loss = 2 ** -epoch + random.random() / epoch + offset 
+
+  # 向swanlab上传训练指标 
+  swanlab.log({"acc": acc, "loss": loss}) 
+
+# [可选] 完成训练，这在notebook环境中是必要的 
+swanlab.finish()