Update app.py

app.py

@@ -84,7 +84,6 @@ def audio_deepfake_detection(demonstrations, query_audio_path):
 # Gradio 界面
 def gradio_ui():
     def detection_wrapper(demonstration_audio1, label1, demonstration_audio2, label2, demonstration_audio3, label3, query_audio):
-        # 将输入音频和标签封装成列表
         demonstrations = [
             (demonstration_audio1, label1),
             (demonstration_audio2, label2),
@@ -92,17 +91,16 @@ def gradio_ui():
         ]
         return audio_deepfake_detection(demonstrations, query_audio)
 
-    # 构建 Gradio 界面
     interface = gr.Interface(
-        fn=detection_wrapper,  # 主函数
+        fn=detection_wrapper,
         inputs=[
-            gr.Audio(source="upload", type="filepath", label="Demonstration Audio 1"),
+            gr.Audio(sources=["upload"], type="filepath", label="Demonstration Audio 1"),
             gr.Dropdown(choices=["bonafide", "spoof"], value="bonafide", label="Label 1"),
-            gr.Audio(source="upload", type="filepath", label="Demonstration Audio 2"),
+            gr.Audio(sources=["upload"], type="filepath", label="Demonstration Audio 2"),
             gr.Dropdown(choices=["bonafide", "spoof"], value="bonafide", label="Label 2"),
-            gr.Audio(source="upload", type="filepath", label="Demonstration Audio 3"),
+            gr.Audio(sources=["upload"], type="filepath", label="Demonstration Audio 3"),
             gr.Dropdown(choices=["bonafide", "spoof"], value="bonafide", label="Label 3"),
-            gr.Audio(source="upload", type="filepath", label="Query Audio (Audio for Detection)")
+            gr.Audio(sources=["upload"], type="filepath", label="Query Audio (Audio for Detection)")
         ],
         outputs=gr.JSON(label="Detection Results"),
         title="Audio Deepfake Detection System",