Update app.py

app.py

@@ -11,7 +11,7 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 # load speech translation checkpoint
 
 
-asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device, generate_kwargs = {task : "transcribe", language = swahili})
+asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device, generate_kwargs = {"task" : "transcribe", "language" : "swahili"})
 
 # load text-to-speech checkpoint and speaker embeddings
 # processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")