Update run.py

run.py

@@ -2,7 +2,7 @@ import gradio as gr
 from transformers import pipeline
 import numpy as np
 
-transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base.en")
+transcriber = pipeline("automatic-speech-recognition", model="NbAiLab/nb-whisper-tiny")
 
 def transcribe(stream, new_chunk):
     sr, y = new_chunk
@@ -13,7 +13,15 @@ def transcribe(stream, new_chunk):
         stream = np.concatenate([stream, y])
     else:
         stream = y
-    return stream, transcriber({"sampling_rate": sr, "raw": stream})["text"]
+    return stream, transcriber({
+        "sampling_rate": sr, 
+        "raw": stream,
+        
+    }, generate_kwargs={
+        'num_beams': 5,
+        'task': 'transcribe', 
+        'language': 'no'
+    })["text"]
 
 
 demo = gr.Interface(