Update app.py

app.py

@@ -22,7 +22,7 @@ def transcribe(audio):
     
     #time.sleep(3)
     # load audio and pad/trim it to fit 30 seconds
-    audio = whisper.load_audio(audio)
+    audio = whisper.load_audio(audio_file)
     audio = whisper.pad_or_trim(audio)
 
     # make log-Mel spectrogram and move to the same device as the model
@@ -33,7 +33,7 @@ def transcribe(audio):
     print(f"Detected language: {max(probs, key=probs.get)}")
 
     # decode the audio
-    options = whisper.DecodingOptions(fp16 = True)
+    options = whisper.DecodingOptions(fp16 = False)
     result = whisper.decode(model, mel, options)
     return result.text