cleanup instructions

app.py

@@ -23,7 +23,7 @@ system = init(ckpt_path, batch_size=BATCH_SIZE, use_cuda=USE_CUDA)
 def inference_audio(audio_path: str, query_audio_path: str):
     """使用音频作为query进行推理"""
     temp_dir = tempfile.gettempdir()
-    output_filename = os.path.basename(audio_path).replace('.wav', '_enhanced.wav')
+    output_filename = os.path.basename(audio_path).replace('.wav', '_inference.wav')
     output_path = os.path.join(temp_dir, output_filename)
     inference_file(system, audio_path, output_path, query_audio_path)  # 第二个参数改为query_path
     return output_path
@@ -31,7 +31,7 @@ def inference_audio(audio_path: str, query_audio_path: str):
 def inference_text(audio_path: str, query_text: str):
     """使用文本作为query进行推理"""
     temp_dir = tempfile.gettempdir()
-    output_filename = os.path.basename(audio_path).replace('.wav', '_enhanced.wav')
+    output_filename = os.path.basename(audio_path).replace('.wav', '_inference.wav')
     output_path = os.path.join(temp_dir, output_filename)
     inference_file_text(system, audio_path, output_path, query_text)  # 使用文本推理函数
     return output_path
@@ -55,13 +55,11 @@ def inference(audio_path: str, query_input, query_type: str):
 with gr.Blocks() as demo:
     gr.Markdown(
         """
-# 🎧 DCCRN Speech Enhancement (Demo)
+# 🎵 Language-Audio Banquet (Demo)
 **How to use:** 
 1. 上传原音频文件
 2. 选择query类型（音频或文字）并提供query内容
-3. 点击 **Enhance** → 收听并下载结果
-
-**Sample audio:** 点击下面的样例自动填充输入
+3. 点击 **Inference** → 收听并下载结果
         """
     )
 
@@ -96,12 +94,12 @@ with gr.Blocks() as demo:
                 visible=False
             )
             
-            enhance_btn = gr.Button("Enhance", variant="primary")
+            inference_btn = gr.Button("Inference", variant="primary")
         
         with gr.Column():
             # 输出音频
             out_audio = gr.Audio(
-                label="增强后的音频输出",
+                label="分离后的音频输出",
                 show_download_button=True
             )
             
@@ -126,7 +124,7 @@ with gr.Blocks() as demo:
         outputs=[inp_query_audio, inp_query_text]
     )
 
-    # 增强按钮点击事件
+    # 按钮点击事件
     def process_inference(audio_path, query_type, query_audio, query_text):
         """处理推理请求"""
         # 根据query类型获取相应的query输入
@@ -136,7 +134,7 @@ with gr.Blocks() as demo:
         result, status_msg = inference(audio_path, query_input, query_type)
         return result, status_msg
     
-    enhance_btn.click(
+    inference_btn.click(
         process_inference,
         inputs=[inp_audio, query_type, inp_query_audio, inp_query_text],
         outputs=[out_audio, status]