Update app.py

app.py

@@ -1,13 +1,13 @@
 import gradio as gr
 import torch
 import librosa
+import json
 from transformers import pipeline
 from stitched_model import CombinedModel
 
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
-# Use facebook/mms-1b-all model for ASR and Sunbird/sunbird-mul-en-mbart-merged for translation
-model = CombinedModel("facebook/mms-1b-all", "Sunbird/sunbird-mul-en-mbart-merged", device=device)
+model = CombinedModel("indonesian-nlp/wav2vec2-luganda", "Sunbird/sunbird-mul-en-mbart-merged", device=device)
 
 def transcribe(audio_file_mic=None, audio_file_upload=None):
     if audio_file_mic: