Update app.py

app.py

@@ -277,8 +277,7 @@ def transcribe_audio_from_redis(audio_file):
     processor = WhisperProcessor.from_pretrained("openai/whisper-small")
     model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-small")
     model.config.forced_decoder_ids = None
-    sample = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")[0]["audio"]
-    input_features = processor(sample["array"], sampling_rate=sample["sampling_rate"], return_tensors="pt").input_features
+    input_features = processor(audio_file, sampling_rate=16000, return_tensors="pt").input_features
     predicted_ids = model.generate(input_features)
     transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
     return transcription[0]