Update app.py

app.py

@@ -10,9 +10,9 @@ device = "cpu"
 torch_dtype = torch.float32  # Use CPU-friendly float type
 MODEL_NAME = "openai/whisper-tiny"  # ✅ Switched to smallest model for fastest performance
 
-# ✅ 2️⃣ Load Whisper Tiny Model on CPU
+# ✅ 2️⃣ Load Whisper Tiny Model on CPU (Removed `low_cpu_mem_usage=True`)
 model = AutoModelForSpeechSeq2Seq.from_pretrained(
-    MODEL_NAME, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
+    MODEL_NAME, torch_dtype=torch_dtype, use_safetensors=True  # ✅ Removed low_cpu_mem_usage
 )
 model.to(device)