diff --git a/predict.py b/predict.py
index 3e7837c11..b6dadf0cd 100644
--- a/predict.py
+++ b/predict.py
@@ -14,4 +14,4 @@
     probs = result.probs  # 分类输出的Probs对象
     obb = result.obb  # OBB输出的Oriented boxes对象
     result.show()  # 显示到屏幕
-    result.save(filename="result.jpg")  # 保存到磁盘
\ No newline at end of file
+    result.save(filename="result.jpg")  # 保存到磁盘
diff --git a/pyproject.toml b/pyproject.toml
index eaf5956af..50550f96f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -94,7 +94,7 @@ export = [
     "coremltools>=8.0; platform_system != 'Windows' and python_version <= '3.13'", # CoreML supported on macOS and Linux
     "scikit-learn>=1.3.2; platform_system != 'Windows' and python_version <= '3.13'", # CoreML k-means quantization
     "openvino>=2024.0.0",  # OpenVINO export
-    "tensorflow>=2.0.0,<=2.19.0", # TF bug https://github.com/ultralytics/ultralytics/issues/5161
+    "tensorflow>=2.0.0,<=2.20.0", # TF bug https://github.com/ultralytics/ultralytics/issues/5161
     "tensorflowjs>=2.0.0", # TF.js export, automatically installs tensorflow
     "tensorstore>=0.1.63; platform_machine == 'aarch64' and python_version >= '3.9'", # for TF Raspberry Pi exports
     "h5py!=3.11.0; platform_machine == 'aarch64'", # fix h5py build issues due to missing aarch64 wheels in 3.11 release
diff --git a/train.py b/train.py
index b5e6c222f..6a8745d76 100644
--- a/train.py
+++ b/train.py
@@ -6,4 +6,4 @@
 model = YOLO("yolo11n.yaml").load("yolo11n.pt")  # 从YAML构建并转移权重
 
 # 训练模型
-results = model.train(data="coco8.yaml", epochs=100, imgsz=640)
\ No newline at end of file
+results = model.train(data="coco8.yaml", epochs=100, imgsz=640)