Update webui.py

webui.py

@@ -27,7 +27,7 @@ def audio_model_inference(files, output_folder, model_path, denoise, margin, chu
     
     # 检查命令是否成功执行
     if result.returncode != 0:
-        return f"Error: {result.stderr}"
+        return f"错误：{result.stderr}"
     
     # 读取输出文件
     vocals_file = f"{os.path.splitext(os.path.basename(files[0]))[0]}_vocals.wav"
@@ -37,7 +37,7 @@ def audio_model_inference(files, output_folder, model_path, denoise, margin, chu
     
     # 确保文件存在
     if not os.path.exists(vocals_path) or not os.path.exists(no_vocals_path):
-        return "Error: Output files not found."
+        return "错误：输出文件未找到。"
     
     # 读取音频文件
     vocals_audio = open(vocals_path, 'rb').read()
@@ -47,26 +47,26 @@ def audio_model_inference(files, output_folder, model_path, denoise, margin, chu
 
 # Gradio 界面组件
 inputs = [
-    gr.inputs.File(label="Source Audio Files", type='file', file_count='multiple'),
-    gr.inputs.Textbox(label="Output Folder", default="output/"),
-    gr.inputs.Textbox(label="Model Path", default="model.onnx"),
-    gr.inputs.Checkbox(label="Enable Denoising", default=False),
-    gr.inputs.Number(label="Margin", default=0.1),
-    gr.inputs.Number(label="Chunk Size", default=1024),
-    gr.inputs.Number(label="FFT Size", default=2048),
-    gr.inputs.Number(label="Time Dimension", default=512),
-    gr.inputs.Number(label="Frequency Dimension", default=64)
+    gr.types.File(label="源音频文件", type='file', file_count='multiple'),
+    gr.types.Textbox(label="输出文件夹", default="./"),
+    gr.types.Textbox(label="模型路径", default="./models/MDX_Net_Models/UVR-MDX-NET-Inst_HQ_3.onnx"),
+    gr.types.Checkbox(label="启用降噪", default=False),
+    gr.types.Number(label="边距", default=0.1),
+    gr.types.Number(label="块大小", default=1024),
+    gr.types.Number(label="FFT大小", default=2048),
+    gr.types.Number(label="时间维度", default=512),
+    gr.types.Number(label="频率维度", default=64)
 ]
 
-outputs = [gr.outputs.Audio(label="Vocals"), gr.outputs.Audio(label="No Vocals")]
+outputs = [gr.outputs.Audio(label="人声"), gr.outputs.Audio(label="无人声")]
 
 # 创建界面
 iface = gr.Interface(
     fn=audio_model_inference,
     inputs=inputs,
     outputs=outputs,
-    title="Audio Separation Model",
-    description="Upload audio files and configure parameters to process them using the audio separation model."
+    title="音频分离模型",
+    description="上传音频文件并配置参数，使用音频分离模型处理它们。"
 )
 
 iface.launch()