Update app.py

app.py

@@ -168,7 +168,8 @@ def generate_audio(script_output, voice1, voice2, num_hosts, temperature, top_p,
             
             code_list = parse_output(generated_ids)
             # Use the correct method for audio generation based on your SNAC model
-            paragraph_audio = snac_model.generate_audio(torch.tensor(code_list).unsqueeze(0).to(device))
+            codes_tensor = torch.tensor(code_list).unsqueeze(0).to(device)
+            paragraph_audio = snac_model(codes_tensor)
             paragraph_audio = paragraph_audio.cpu().numpy().flatten()
             
             silences = detect_silence(paragraph_audio)