.

app.py

@@ -11,7 +11,7 @@ def speech_to_text(tmp_filename, model_size):
     audio = whisper.pad_or_trim(audio)
 
     # make log-Mel spectrogram and move to the same device as the model
-    mel = whisper.log_mel_spectrogram(audio).to(model.device)
+    mel = whisper.log_mel_spectrogram(audio)
 
     # detect the spoken language
     _, probs = model.detect_language(mel)
@@ -27,7 +27,7 @@ def speech_to_text(tmp_filename, model_size):
 
 
 gr.Interface(
-    theme="dark",
+   
     title="Whisper by OpenAI",
     thumbnail="https://cdn.openai.com/whisper/asr-summary-of-model-architecture-desktop.svg",
     css="""