Removed dtype for torch

app.py

@@ -8,12 +8,16 @@ from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
 
 device = "cpu"
 # device = "cuda:0" if torch.cuda.is_available() else "cpu"
-torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
+# torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 
 model_id = "openai/whisper-large-v3"
 
+# model = AutoModelForSpeechSeq2Seq.from_pretrained(
+#     model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
+# )
+
 model = AutoModelForSpeechSeq2Seq.from_pretrained(
-    model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
+    model_id, low_cpu_mem_usage=True, use_safetensors=True
 )
 model.to(device)
 
@@ -23,7 +27,7 @@ pipe = pipeline(
     task="automatic-speech-recognition",
     model=model,
     tokenizer=processor.tokenizer,
-    # feature_extractor=processor.feature_extractor,
+    feature_extractor=processor.feature_extractor,
     # max_new_tokens=128,
     chunk_length_s=30,
     batch_size=8,