Delete whisper_model.py

whisper_model.py

@@ -1,31 +0,0 @@
-import whisper
-from ipex_llm import optimize_model
-
-def has_intersection(t1, t2):
-    if t1[1] < t2[0] or t2[1] < t1[0]:
-        return False
-    else:
-        return True
-
-class AudioTranslator():
-    def __init__(self, args):
-        self.model = whisper.load_model(args.whisper_version, download_root='checkpoints')
-        self.model = optimize_model(self.model)
-
-    def __call__(self, video_path):
-        """
-        input: video_path (str)
-        output: audio_results (list)
-        """
-        print("Extract the audio results.")
-        audio_results = self.model.transcribe(video_path, task = 'translate')["segments"]
-        print("Finished.")
-        return audio_results
-
-    def match(self, audio_results):
-        transcript = ''
-        for res in audio_results:
-            transcript += res['text'] + ' '
-            # if has_intersection((start, end), (res["start"], res["end"])):
-            #     transcript += res['text'] + ' '
-        return transcript