# version - ArcticMonkey:19.03.24:1743

import psutil
# components from other authors
from streamlit_mic_recorder import mic_recorder

# core modules
from audio_processing.A2T import A2T
from audio_processing.T2A import T2A
from command.utils import build_chain
from llm.llm_factory import LLM_Factory

llm_model = LLM_Factory()

trigger = {"hf": "effective"}


def prepare_cor(input_text: str):
    return build_chain.build_command_chain().handle_command(input_text)


def main():
    mic = mic_recorder(start_prompt="Record", stop_prompt="Stop", just_once=True)

    if mic is not None:
        a2t = A2T(mic["bytes"])
        text = a2t.predict()
        print(text)
        # prepare_cor(input_text=text)
        llm = llm_model.create_llm(prompt_entity=text, prompt_id=1, trigger=trigger)
        response = llm.execution() if llm is not None else "Oops occurred some error. Please try again"

        t2a = T2A(response)
        t2a.autoplay()


if __name__ == "__main__":
    print('RAM memory % used:', psutil.virtual_memory()[2])  # ~ 94 GB full memory
    main()