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Added support for tflite versions of the melspectrogram model, embedding model, and pre-trained wakeword models
Added an inference framework argument to allow users to select either ONNX or tflite as the inference framework
The detect_from_microphone.py example now supports additional arguments and has improved console formatting
Changed
Made tflite the default inference framework for linux platforms due to improved efficiency, with windows still using ONNX as the default given the lack of pre-built windows WHLs for the tflite runtime (https://pypi.org/project/tflite/)
Adjusted the default provider arguments for onnx models to avoid warnings (#27)