Make the result different at each run

app.py

@@ -1,5 +1,6 @@
 import torch
 import torchaudio
+import random
 from einops import rearrange
 import gradio as gr
 import spaces
@@ -27,6 +28,10 @@ def load_model():
 # Function to set up, generate, and process the audio
 @spaces.GPU(duration=120)  # Allocate GPU only when this function is called
 def generate_audio(prompt, sampler_type_dropdown, seconds_total=30, steps=100, cfg_scale=7,sigma_min_slider=0.3,sigma_max_slider=500, progress=gr.Progress(track_tqdm=True)):
+    seed = random.randint(0, 2**63 - 1)
+    random.seed(seed)
+    torch.manual_seed(seed)
+
     print(f"Prompt received: {prompt}")
     print(f"Settings: Duration={seconds_total}s, Steps={steps}, CFG Scale={cfg_scale}")