Update app.py

app.py

@@ -3,8 +3,9 @@ from faster_whisper import WhisperModel
 import tempfile
 import os
 import numpy as np
+import wave
 
-# Load model (small = good balance)
+# Load Whisper model (CPU, free tier safe)
 model = WhisperModel(
     "small",
     device="cpu",
@@ -17,9 +18,8 @@ def transcribe(audio):
 
     sample_rate, data = audio
 
-    # Save temp wav
+    # Save temp WAV
     with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as f:
-        import wave
         with wave.open(f.name, "wb") as wf:
             wf.setnchannels(1)
             wf.setsampwidth(2)
@@ -58,8 +58,7 @@ def transcribe(audio):
 iface = gr.Interface(
     fn=transcribe,
     inputs=gr.Audio(type="numpy"),
-    outputs="json",
-    allow_flagging="never"
+    outputs="json"
 )
 
 iface.launch()