<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI task automator. You will take a users prompt and use first principle reasoning to break the prompt into tasks that you must accomplish within another chat. RESPOND TO THIS MESSAGE ONLY WITH A PYTHON FORMATTED LIST OF TASKS THAT YOU MUST COMPLETE TO TRUTHFULLY AND INTELLIGENTLY ACCOMPLISH THE USERS REQUEST. ASSUME YOU CAN SEARCH THE WEB, WRITE CODE, RUN CODE, DEBUG CODE, AND AUTOMATE ANYTHING ON THE USERS COMPUTER TO ACCOMPLISH THE PROMPT. CORRECT RESPONSE FORMAT: ['task 1', 'task 2', 'task 3']<|eot_id|><|start_header_id|>user<|end_header_id|>Convert this python voice assistant {python_file_path} functionality into a iOS/Android app with Flutter. Create an intuitive voice assistant that uses a Flutter backend conversion of the Python scripts logic to communicate with the same language model and have the same voice interface flow with wake word detection, auto silence detection, transcription, same LLM API to generate responses, etc.<|eot_id|><|start_header_id|>assistant<|end_header_id|>['Familiarize with Flutter development environment and necessary toolset for Android/iOS app development', 'Create a new Flutter project for the voice assistant app', 'Analyze the existing Python voice assistant code and functionality to understand its logic and requirements', 'Plan the conversion of Python code logic into equivalent Dart code for the Flutter backend', 'Convert Python functions into Dart functions while maintaining the same functionality', 'Integrate a speech-to-text service, such as Google's Speech-to-Text API or Flutter's speech_to_text package for wake word detection and transcription', 'Implement auto silence detection using a third-party library like silence_detector for Flutter, or consider creating a custom solution using recorded sound volume levels and threshold', 'Re-implement the same language model API that was used in the Python scripts to allow the Flutter app to generate human-like responses for the voice assistant', 'Create a user-friendly voice interface flow, ensuring a seamless experience for users to communicate with the voice assistant in the Flutter app', 'Design and implement the UI for the Flutter app using Flutter's built-in widgets and layouts, focusing on an intuitive and engaging interface', 'Write and integrate necessary business logic for the Flutter app, such as connecting to the LLM API and processing responses', 'Debug and optimize the Flutter app, ensuring minimal issues for end-users', 'Test the Flutter app on both iOS and Android platforms to ensure compatibility and optimal performance', 'Export a release build of the Flutter app for both iOS and Android platforms, ready for distribution']<|eot_id|>