runtime error

Exit code: 1. Reason: │ dropout (Dropout) │ (None, 75, 256) │ 0 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ bidirectional_1 (Bidirectional) │ (None, 75, 256) │ 394,240 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dropout_1 (Dropout) │ (None, 75, 256) │ 0 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dense (Dense) │ (None, 75, 41) │ 10,537 │ └─────────────────────────────────┴────────────────────────┴───────────────┘ Total params: 8,471,924 (32.32 MB) Trainable params: 8,471,924 (32.32 MB) Non-trainable params: 0 (0.00 B) Traceback (most recent call last): File "/home/user/app/app.py", line 102, in <module> optimizer = legacy.Adam(learning_rate=0.001) # Replace legacy.Adam with the appropriate legacy optimizer you used during training File "/usr/local/lib/python3.10/site-packages/keras/src/optimizers/__init__.py", line 115, in __init__ raise ImportError( ImportError: `keras.optimizers.legacy` is not supported in Keras 3. When using `tf.keras`, to continue using a `tf.keras.optimizers.legacy` optimizer, you can install the `tf_keras` package (Keras 2) and set the environment variable `TF_USE_LEGACY_KERAS=True` to configure TensorFlow to use `tf_keras` when accessing `tf.keras`.

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