Fall back to lokal df2 model

app.py

@@ -19,7 +19,7 @@ from df.enhance import enhance, init_df, load_audio, save_audio
 from df.io import resample
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-model, df, _ = init_df(config_allow_defaults=True)
+model, df, _ = init_df("./DeepFilterNet2", config_allow_defaults=True)
 model = model.to(device=device).eval()
 
 fig_noisy: plt.Figure