Update app.py

app.py

@@ -5,7 +5,6 @@ subprocess.run(["pip", "install", "gradio", "--upgrade"])
 subprocess.run(["pip", "install", "datasets"])
 subprocess.run(["pip", "install", "transformers"])
 subprocess.run(["pip", "install", "torch", "torchvision", "torchaudio", "-f", "https://download.pytorch.org/whl/torch_stable.html"])
-
 import gradio as gr
 from transformers import WhisperProcessor, WhisperForConditionalGeneration
 
@@ -22,10 +21,13 @@ def preprocess_audio(audio_data):
     return processed_data
 
 # Function to perform ASR on audio data
-def transcribe_audio(input_features):
+def transcribe_audio(audio_data):
+    # Preprocess the audio data
+    input_features = preprocess_audio(audio_data)
+
     # Generate token ids
-    predicted_ids = model.generate(**input_features)
-    
+    predicted_ids = model.generate(input_features)
+
     # Decode token ids to text
     transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)