app.py cleanup, load/save_audio removal from pyharp since they're unused

app.py

@@ -6,7 +6,7 @@ import spaces
 from huggingface_hub import hf_hub_download
 
 # For PyHARP wrapper
-from pyharp import ModelCard, build_endpoint, load_audio, save_audio
+from pyharp import ModelCard, build_endpoint
 import gradio as gr
 
 # Create a ModelCard
@@ -76,8 +76,6 @@ def process_fn(
     model.eval()
     print("✓ Model loaded successfully")
     
-    # Commenting out excess print statement bc it uses input.wav
-    # print(f"Processing audio: {input_wav}")
     sig = load_audio(input_audio_path)
 
     # Move audio data to device
@@ -100,10 +98,6 @@ def process_fn(
 
     return output_audio_path
 
-    # original export method
-    # save_audio(output_wav, out)
-    # print(f"✓ Saved output to {output_wav}")
-
 # Build Gradio endpoint
 with gr.Blocks() as demo:
     # Define input Gradio Components
@@ -128,16 +122,5 @@ with gr.Blocks() as demo:
         process_fn=process_fn,
     )
 
-# run the thing
-demo.queue().launch(show_error=True, pwa=True)
-
-# original inference function run
-'''
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description="Audio Inference Script")
-    parser.add_argument("--in_wav", type=str, required=True, help="Path to input wav file")
-    parser.add_argument("--out_wav", type=str, required=True, help="Path to output wav file")
-    args = parser.parse_args()
-
-    main(args.in_wav, args.out_wav)
-    '''
+# run the model
+demo.queue().launch(show_error=True, pwa=True)