# Normalize the input image so that each pixel value is between 0 to 1. train_images = train_images / 255.0 test_images = test_images / 255.0
# Define the model architecture. model = keras.Sequential([ keras.layers.InputLayer(input_shape=(28, 28)), keras.layers.Reshape(target_shape=(28, 28, 1)), keras.layers.Conv2D(filters=12, kernel_size=(3, 3), activation='relu'), keras.layers.MaxPooling2D(pool_size=(2, 2)), keras.layers.Flatten(), keras.layers.Dense(10) ])
# Train the digit classification model model.compile(optimizer='adam', loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), metrics=['accuracy'])
$ pip3 install open-webui Defaulting to user installation because normal site-packages is not writeable ERROR: Could not find a version that satisfies the requirement open-webui (from versions: none) ERROR: No matching distribution found for open-webui