main.py

from converter import Converter
from transcribe import Transcriber
from sentence-split import Spliter
from modeling import LdaModeling

def main()

    if __name__ == '__main__':
        audio_converter = Converter('./audio.mp3')
        audio_converter.convert('flac')
        zoom_project = Transcriber("gs://zoom_project_data/audio.flac")
        transcript = zoom_project.transcribe()
        sentence_spliter = Spliter.split()
        lda_instance = LdaModeling('transcript.csv')
        gensim_corpus, gensim_dictionary = lda_instance.preprocessing()
        lda_model = lda_instance.modeling()
        lda_instance.performance(lda_model, gensim_corpus, gensim_dictionary)
        lda_plot = lda_instance.plotting(lda_model, gensim_corpus, gensim_dictionary)
        print(lda_plot)

main()