Update app.py

app.py

@@ -1,5 +1,5 @@
 import streamlit as st
-from transformers import AutoProcessor, SeamlessM4Tv2Model
+from transformers import AutoProcessor, SeamlessM4TModel
 import torchaudio
 import soundfile as sf
 import torch
@@ -27,8 +27,8 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 # Function to load and cache the model and processor
 @st.cache_resource
 def load_model_and_processor():
-    processor = AutoProcessor.from_pretrained("facebook/seamless-m4t-v2-large")
-    model = SeamlessM4Tv2Model.from_pretrained("facebook/seamless-m4t-v2-large")
+    processor = AutoProcessor.from_pretrained("facebook/hf-seamless-m4t-medium")
+    model = SeamlessM4TModel.from_pretrained("facebook/hf-seamless-m4t-medium")
     model.to(device)
     return processor, model