Update app.py

app.py

@@ -11,7 +11,7 @@ torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 # Load Whisper model
 whisper_model_id = "openai/whisper-large-v3"
 whisper_model = AutoModelForSpeechSeq2Seq.from_pretrained(
-    whisper_model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
+    whisper_model_id, torch_dtype=torch_dtype, use_safetensors=True
 ).to(device)
 whisper_processor = AutoProcessor.from_pretrained(whisper_model_id)
 whisper_pipe = pipeline(
@@ -68,5 +68,3 @@ if uploaded_file:
 # Streamlit run command
 if __name__ == "__main__":
     st.write("Running Streamlit app...")
-
-