runtime error

Exit code: 1. Reason: t find cuda drivers on your machine, GPU will not be used. 2024-12-12 18:38:14.287296: I tensorflow/core/platform/cpu_feature_guard.cc:182] 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. 2024-12-12 18:38:15.249530: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT WARNING:tensorflow:From /usr/local/lib/python3.10/site-packages/tensorflow/python/compat/v2_compat.py:107: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version. Instructions for updating: non-resource variables are not supported in the long term WARNING:tensorflow:From /usr/local/lib/python3.10/site-packages/tflearn/initializations.py:164: calling TruncatedNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor 2024-12-12 18:38:19.169352: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled Traceback (most recent call last): File "/home/user/app/app.py", line 29, in <module> model.load("MentalHealthChatBotmodel.tflearn") File "/usr/local/lib/python3.10/site-packages/tflearn/models/dnn.py", line 302, in load self.trainer.restore(model_file, weights_only, **optargs) File "/usr/local/lib/python3.10/site-packages/tflearn/helpers/trainer.py", line 500, in restore self.restorer.restore(self.session, model_file) File "/usr/local/lib/python3.10/site-packages/tensorflow/python/training/saver.py", line 1410, in restore raise ValueError("The passed save_path is not a valid checkpoint: " + ValueError: The passed save_path is not a valid checkpoint: /home/user/app/MentalHealthChatBotmodel.tflearn

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