feat:added chunk length

app.py

@@ -1,9 +1,17 @@
 import gradio as gr
+import torch
 from transformers import pipeline
 import numpy as np
 
-model_name = "biodatlab/whisper-th-medium-combined"
-transcriber = pipeline("automatic-speech-recognition", model=model_name)
+MODEL_NAME = "biodatlab/whisper-th-medium-combined"
+DEVICE = 0 if torch.cuda.is_available() else "cpu"
+
+transcriber = pipeline(
+    "automatic-speech-recognition", 
+    model=MODEL_NAME,
+    chunk_length_s=30,
+    device=DEVICE
+)
 
 def transcribe(audio):
     sr, y = audio