Update app.py

app.py

@@ -8,8 +8,8 @@ asr_model = pipeline("automatic-speech-recognition", model="openai/whisper-small
 def transcribe(file_path):
     # Load the audio file with librosa
     data, samplerate = librosa.load(file_path, sr=None)
-    # Pass the audio data to the model for transcription
-    transcription = asr_model(data, sampling_rate=samplerate)
+    # Pass the audio data to the model for transcription without specifying sampling_rate
+    transcription = asr_model(data)
     return transcription["text"]
 
 # Create the Gradio interface