Update app.py

app.py

@@ -4,14 +4,14 @@ import whisper
 import gradio as gr
 from transformers import pipeline
 
-transcription_model = whisper.load_model("small")
+transcription_model = whisper.load_model("tiny.en")
 
 def transcribe(audio):
     
     # time.sleep(3)
     # load audio and pad/trim it to fit 30 seconds
     audio = whisper.load_audio(audio)
-    audio = whisper.pad_or_trim(audio)
+    # audio = whisper.pad_or_trim(audio)
 
     # make log-Mel spectrogram and move to the same device as the transcription_model
     mel = whisper.log_mel_spectrogram(audio).to(transcription_model.device)