Update model.py

model.py

@@ -37,7 +37,7 @@ model = AutoModelForCausalLM.from_pretrained(
 # Load ASR
 # --------------------------
 ASR_MODEL = "facebook/seamless-m4t-v2-large"
-processor = AutoProcessor.from_pretrained(ASR_MODEL, token=HF_TOKEN)
+processor = AutoProcessor.from_pretrained(ASR_MODEL, token=HF_TOKEN,use_fast=False)
 asr_model = SeamlessM4Tv2ForSpeechToText.from_pretrained(ASR_MODEL, token=HF_TOKEN, use_fast=False).to(device)
 asr_model.eval()
 
@@ -51,8 +51,8 @@ for lang, tts_name in {
     # "hausa": "facebook/mms-tts-hau",
 }.items():
     print(f"Loading TTS model for {lang}...")
-    tts_proc = AutoProcessor.from_pretrained(tts_name, token=HF_TOKEN)
-    tts_mod = VitsModel.from_pretrained(tts_name, token=HF_TOKEN).to(device)
+    tts_proc = AutoProcessor.from_pretrained(tts_name, token=HF_TOKEN,use_fast=False)
+    tts_mod = VitsModel.from_pretrained(tts_name, token=HF_TOKEN,use_fast=False).to(device)
     tts_mod.eval()
     tts_models[lang] = {"processor": tts_proc, "model": tts_mod}