Update app.py

app.py

@@ -35,31 +35,6 @@ db = get_db_firestore()
 # create ASR ML pipeline
 asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
 
-MODEL_NAMES = [
-    "en/ljspeech/tacotron2-DDC",
-    "en/ljspeech/glow-tts",
-    "en/ljspeech/speedy-speech-wn",
-    "en/ljspeech/vits",
-    "en/sam/tacotron-DDC",
-    "fr/mai/tacotron2-DDC",
-    "de/thorsten/tacotron2-DCA",
-]
-MODELS = {}
-manager = ModelManager()
-for MODEL_NAME in MODEL_NAMES:
-    print(f"downloading {MODEL_NAME}")
-    model_path, config_path, model_item = manager.download_model(f"tts_models/{MODEL_NAME}")
-    vocoder_name: Optional[str] = model_item["default_vocoder"]
-    vocoder_path = None
-    vocoder_config_path = None
-    if vocoder_name is not None:
-        vocoder_path, vocoder_config_path, _ = manager.download_model(vocoder_name)
-
-    synthesizer = Synthesizer(
-        model_path, config_path, None, vocoder_path, vocoder_config_path,
-    )
-    MODELS[MODEL_NAME] = synthesizer
-
 # create Text Classification pipeline
 classifier = pipeline("text-classification")