Update app.py

app.py

@@ -4,7 +4,7 @@ import torch
 import os
 
 pipe = pipeline('audio-classification', model='mrfakename/styletts2-detector', device='cuda' if torch.cuda.is_available() else 'cpu')
-pipe_turbo = pipeline('audio-classification', model='mrfakename/styletts2-detector-turbo', device='cuda' if torch.cuda.is_available() else 'cpu', token=os.getenv('HF_TOKEN'))
+#pipe_turbo = pipeline('audio-classification', model='mrfakename/styletts2-detector-turbo', device='cuda' if torch.cuda.is_available() else 'cpu', token=os.getenv('HF_TOKEN'))
 
 ABOUT = """
 # 🤔 Did StyleTTS 2 Generate It?
@@ -41,10 +41,11 @@ def classify(audio, model):
 with gr.Blocks() as demo:
     gr.Markdown(ABOUT)
     aud = gr.Audio(label="Upload audio...", interactive=True, type="filepath")
-    model = gr.Radio(["default", "turbo"], label="Model", info="Which model do you want to use? Default is lightweight and efficient, Turbo is more robust and powerful.", value="default", interactive=True)
+    #model = gr.Radio(["default", "turbo"], label="Model", info="Which model do you want to use? Default is lightweight and efficient, Turbo is more robust and powerful.", value="default", interactive=True)
     btn = gr.Button("Classify", variant="primary")
     res = gr.Label(label="Results...")
-    btn.click(classify, inputs=[aud, model], outputs=res)
+    #btn.click(classify, inputs=[aud, model], outputs=res)
+    btn.click(classify, inputs=[aud], outputs=res)
     gr.Markdown(DISCLAIMER)
 
 demo.queue(default_concurrency_limit=20, max_size=20, api_open=False).launch(show_api=False)