Update app.py

app.py

@@ -14,8 +14,8 @@ auth_token = os.getenv("HF_TOKEN")
 
 # 加载私有模型
 model_id = "DeepLearning101/Speech-Quality-Inspection_Meta-Denoiser"
-model = AutoModelForSequenceClassification.from_pretrained(model_id, use_auth_token=auth_token)
-tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=auth_token)
+model = AutoModelForSequenceClassification.from_pretrained(model_id, token=auth_token)
+tokenizer = AutoTokenizer.from_pretrained(model_id, token=auth_token)
 
 def transcribe(file_upload, microphone):
     file = microphone if microphone is not None else file_upload
@@ -30,7 +30,7 @@ def transcribe(file_upload, microphone):
     enhanced.export('enhanced.wav', format="wav", bitrate="256k")
 
     # 假设模型是用于文本分类
-    inputs = tokenizer(enhanced, return_tensors="pt")
+    inputs = tokenizer("enhanced.wav", return_tensors="pt")
     outputs = model(**inputs)
     predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
 
@@ -57,4 +57,4 @@ demo = gr.Interface(
     ],
 )
 
-demo.launch(debug=True)
+demo.launch(debug=True)