Update app.py

app.py

@@ -4,9 +4,6 @@ from audiosr import super_resolution, build_model
 import torch
 import gc # free up memory
 
-torch.cuda.set_per_process_memory_fraction(0.95, 0)  # This reserves 95% of GPU memory for this process
-torch.backends.cuda.matmul.allow_tf32 = True  # Optional: Enable TensorFloat-32 mode for efficient memory usage
-torch.cuda.set_max_split_size_mb(64)  # Adjust 64 MB to suit your needs based on experimentation
 
 # @spaces.GPU(duration=180)
 def inference(audio_file, model_name, guidance_scale, ddim_steps, seed):
@@ -51,4 +48,4 @@ iface = gr.Interface(
     description="Audio Super Resolution with AudioSR"
 )
 
-iface.launch(share=False)
+iface.launch(share=False)