Update custom_interface_app.py

custom_interface_app.py

@@ -251,7 +251,7 @@ class ASR(Pretrained):
 
                 # Pass the segment through the ASR model
                 inputs = processor(segment_tensor, sampling_rate=16_000, return_tensors="pt").to(device)
-                inputs['input_values'] = inputs['input_values'].to(torch.float16)
+                inputs['input_values'] = inputs['input_values']
                 outputs = model(**inputs).logits
                 ids = torch.argmax(outputs, dim=-1)[0]
                 segment_output = processor.decode(ids)
@@ -259,7 +259,7 @@ class ASR(Pretrained):
         else:
             waveform = torch.tensor(waveform).to(device)
             inputs = processor(waveform, sampling_rate=16_000, return_tensors="pt").to(device)
-            inputs['input_values'] = inputs['input_values'].to(torch.float16)
+            inputs['input_values'] = inputs['input_values']
             outputs = model(**inputs).logits
             ids = torch.argmax(outputs, dim=-1)[0]
             transcription = processor.decode(ids)