fix: modify reqs with GPU and torch reqs

app.py

@@ -1,6 +1,13 @@
 import gradio as gr
 from transformers import pipeline
+import torch
 from nemo.collections.speechlm2 import SALM
+import spaces
+
+if torch.cuda.is_available():
+    device = torch.device("cuda")
+else:
+    device = torch.device("cpu")
 
 # Initialize the ASR model which is based on the "nvidia/canary-qwen-2.5b" architecture and uses NVIDIA's NeMo framework
 model = SALM.from_pretrained("nvidia/canary-qwen-2.5b").bfloat16().eval().to(device)

requirements.txt

@@ -1,5 +1,9 @@
-gradio
-transformers
-nemo_toolkit[asr] @ git+https://github.com/NVIDIA/NeMo.git
-sacrebleu
-seaborn
+  gradio
+  transformers
+  spaces
+  nemo_toolkit[asr] @ git+https://github.com/NVIDIA/NeMo.git
+  peft
+  sacrebleu
+  seaborn
+  --extra-index-url https://download.pytorch.org/whl/cu113
+  torch