fwasr/app/fwasr.py

import json
import os

from appPublic.worker import awaitify
from appPublic.jsonConfig import getConfig
from ahserver.serverenv import ServerEnv
from ahserver.webapp import webapp

from time import time
from faster_whisper import WhisperModel

class FWASR:
    def __init__(self):
        config = getConfig()
        self.modelname = config.modelname or "large-v3"
        self.device = config.device or "cpu"
        self.compute_type=config.compute_type or "float16"
        self.model = WhisperModel(self.modelname,
                                        device=self.device, 
                                        compute_type=self.compute_type)

    def inference(self, audiofile):
        t1 = time()
        segs, info = self.model.transcribe(audio_file)
        t2 = time()
        d = DictObject(**{
            'segments':[],
            'language':info.language
        })
        d.content = ''
        for s in segs:
            seg = {
                "start":s.start,
                "end":s.end,
                "text":s.text
            }
            d.segments.append(seg)
            d.content += s.text
        d.time_cost = t2 - t1
        return d

def init_func():
	asr = FWASR()
	g = ServerEnv()
	g.inference = awaitify(asr.inference)

if __name__ == '__main__':
    webapp(init_func)