Update app.py

app.py

@@ -96,7 +96,7 @@ def convert(model, src_mic,src_file, tgt):
         # tgt
         wav_tgt, _ = librosa.load(tgt, sr=hps.data.sampling_rate)
         wav_tgt, _ = librosa.effects.trim(wav_tgt, top_db=20)
-        if model == "FreeVC" or model == "FreeVC (24kHz)" or model == "FreeVC CVFR":
+        if model == "FreeVC" or model == "FreeVC (24kHz)" or model == "FreeVC CVFR" or model == "FreeVC MLS":
             g_tgt = smodel.embed_utterance(wav_tgt)
             g_tgt = torch.from_numpy(g_tgt).unsqueeze(0).to(device)
         else: