Update app.py

app.py

@@ -29,7 +29,7 @@ model = AutoModel(
     device=device,
 )
 
-def transcribe_audio(file, vad_model="fsmn-vad", vad_kwargs='{"max_single_segment_time": 30000}', 
+def transcribe_audio(file_path, vad_model="fsmn-vad", vad_kwargs='{"max_single_segment_time": 30000}', 
                      ncpu=4, batch_size=1, language="auto", use_itn=True, batch_size_s=60, 
                      merge_vad=True, merge_length_s=15, batch_size_threshold_s=50, 
                      hotword=" ", spk_model="cam++", ban_emo_unk=False):
@@ -37,15 +37,13 @@ def transcribe_audio(file, vad_model="fsmn-vad", vad_kwargs='{"max_single_segmen
         # 将字符串转换为字典
         vad_kwargs = json.loads(vad_kwargs)
         
-        # 创建临时文件并保存上传的音频文件
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_file:
-            temp_file_path = temp_file.name
-            temp_file.write(file.read())
+        # 使用文件路径作为输入
+        temp_file_path = file_path
 
         try:
             # 生成结果
             res = model.generate(
-                input=temp_file_path,  # 使用临时文件路径作为输入
+                input=temp_file_path,  # 使用文件路径作为输入
                 cache={},
                 language=language,
                 use_itn=use_itn,
@@ -62,18 +60,13 @@ def transcribe_audio(file, vad_model="fsmn-vad", vad_kwargs='{"max_single_segmen
             text = rich_transcription_postprocess(res[0]["text"])
             
             return text
-        
-        finally:
-            # 确保在处理完毕后删除临时文件
-            if os.path.exists(temp_file_path):
-                os.remove(temp_file_path)
     
     except Exception as e:
         return str(e)
 
 # 创建Gradio界面
 inputs = [
-    gr.Audio(type="file"),  # 上传音频
+    gr.Audio(type="filepath"),  # 设置为'filepath'来支持文件路径
     gr.Textbox(value="fsmn-vad", label="VAD Model"),
     gr.Textbox(value='{"max_single_segment_time": 30000}', label="VAD Kwargs"),
     gr.Slider(1, 8, value=4, step=1, label="NCPU"),