Update app.py

app.py

@@ -18,20 +18,20 @@ QUANTIZED_PITCH_MODEL_PATH = hf_hub_download(repo_id=PITCH_PATH, filename='quant
 
 
 ## word preprocessor
-processor_with_lm = Wav2Vec2ProcessorWithLM.from_pretrained(MODEL_PATH, use_auth_token=API_TOKEN)
-processor = Wav2Vec2Processor.from_pretrained(MODEL_PATH, use_auth_token=API_TOKEN)
+processor_with_lm = Wav2Vec2ProcessorWithLM.from_pretrained(MODEL_PATH, token=API_TOKEN)
+processor = Wav2Vec2Processor.from_pretrained(MODEL_PATH, token=API_TOKEN)
 
 ### quantized model
-config = AutoConfig.from_pretrained(MODEL_PATH, use_auth_token=API_TOKEN)
+config = AutoConfig.from_pretrained(MODEL_PATH, token=API_TOKEN)
 dummy_model = Wav2Vec2ForCTC(config)
 quantized_model = torch.quantization.quantize_dynamic(dummy_model, {torch.nn.Linear}, dtype=torch.qint8, inplace=True)
 quantized_model.load_state_dict(torch.load(QUANTIZED_MODEL_PATH))
 
 ## pitch preprocessor 
-processor_pitch = Wav2Vec2Processor.from_pretrained(PITCH_PATH, use_auth_token=API_TOKEN)
+processor_pitch = Wav2Vec2Processor.from_pretrained(PITCH_PATH, token=API_TOKEN)
 
 ### quantized pitch mode
-config = AutoConfig.from_pretrained(PITCH_PATH, use_auth_token=API_TOKEN)
+config = AutoConfig.from_pretrained(PITCH_PATH, token=API_TOKEN)
 dummy_pitch_model = Wav2Vec2ForCTC(config)
 quantized_pitch_model = torch.quantization.quantize_dynamic(dummy_pitch_model, {torch.nn.Linear}, dtype=torch.qint8, inplace=True)
 quantized_pitch_model.load_state_dict(torch.load(QUANTIZED_PITCH_MODEL_PATH))
@@ -96,7 +96,6 @@ iface = gr.Interface(
     inputs=[
         gr.File(
             label="Audio file",
-            source="upload", 
             type="binary",
         ),
         gr.Textbox(