runtime error

e has already been registered 2024-07-12 23:17:51.606852: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 2024-07-12 23:17:51.610673: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2024-07-12 23:17:51.621492: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-07-12 23:17:52.725924: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT /usr/local/lib/python3.10/site-packages/keras/src/layers/reshaping/reshape.py:39: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead. super().__init__(**kwargs) /usr/local/lib/python3.10/site-packages/keras/src/optimizers/base_optimizer.py:33: UserWarning: Argument `decay` is no longer supported and will be ignored. warnings.warn( WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model. WARNING:absl:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer. Traceback (most recent call last): File "/home/user/app/run.py", line 19, in <module> im = gr.Image(shape=(28, 28), image_mode="L", invert_colors=False, source="canvas") File "/usr/local/lib/python3.10/site-packages/gradio/component_meta.py", line 163, in wrapper return fn(self, **kwargs) TypeError: Image.__init__() got an unexpected keyword argument 'shape'

Container logs: