Update app.py

app.py

@@ -15,7 +15,7 @@ def predict_with_prompt(text_prompt, speaker_prompt):
     if len(text_prompt.strip()) == 0:
         return (16000, np.zeros(0).astype(np.int16))
     
-    prompt_path = os.path.join(os.getcwd(), "bark", "assets", "prompts", f"speech_{speaker_prompt}.npz")
+    prompt_path = os.path.join(os.getcwd(), "assets", "prompts", f"speech_{speaker_prompt}.npz")
     semantic_history = np.load(prompt_path)["semantic_prompt"]
 
     prompt_array = semantic_to_waveform(semantic_history)