Update custom_interface_app.py

custom_interface_app.py

@@ -201,8 +201,7 @@ class ASR(Pretrained):
 
                 # Fake a batch for the segment
                 batch = segment_tensor.unsqueeze(0).to(device)
-                batch = batch.to(torch.float16)
-                rel_length = torch.tensor([1.0], dtype=torch.float16).to(device)
+                rel_length = torch.tensor([1.0]).to(device)
 
                 # Pass the segment through the ASR model
                 segment_output = self.encode_batch_whisper(device, batch, rel_length)
@@ -211,8 +210,7 @@ class ASR(Pretrained):
             waveform = torch.tensor(waveform).to(device)
             waveform = waveform.to(device)
             batch = waveform.unsqueeze(0)
-            batch = batch.to(torch.float16)
-            rel_length = torch.tensor([1.0], dtype=torch.float16).to(device)
+            rel_length = torch.tensor([1.0]).to(device)
             outputs = self.encode_batch_whisper(device, batch, rel_length)
             yield outputs