trying

app.py

@@ -2,6 +2,9 @@ from diffusers import AudioLDMPipeline
 import torch
 import gradio as gr
 from googletrans import Translator
+import os
+os.environ["TOKENIZERS_PARALLELISM"] = "false"
+
 
 if torch.cuda.is_available():
     device = "cuda"
@@ -12,8 +15,8 @@ else:
 print(device)
 repo_id = "cvssp/audioldm-m-full"
 pipe = AudioLDMPipeline.from_pretrained(repo_id, torch_dtype=torch_dtype)
-#pipe = pipe.to(device)
-pipe.unet = torch.compile(pipe.unet)
+pipe = pipe.to(device)
+# pipe.unet = torch.compile(pipe.unet)
 #pipe.unet = torch.compile(pipe.unet)
 
 def generate_sound(text): 
@@ -23,7 +26,7 @@ def generate_sound(text):
     text=translator.translate(text, src='es',dest="en").text
     print(text)
     waveforms = pipe(text, 
-                     num_inference_steps=25, 
+                     num_inference_steps=10, 
                      audio_length_in_s=5,
                      negative_prompt = "low quality, average quality").audios
     rate =16000