Update app.py

app.py

@@ -3,8 +3,8 @@ from transformers import Wav2Vec2Processor, Wav2Vec2BertForCTC
 import torch
 import librosa
 
-# Load the Punjabi ASR model and processor
-model_id = 'kdcyberdude/w2v-bert-punjabi'
+# Load the correct processor and model
+model_id = "kdcyberdude/w2v-bert-punjabi"
 processor = Wav2Vec2Processor.from_pretrained(model_id)
 model = Wav2Vec2BertForCTC.from_pretrained(model_id)
 
@@ -12,7 +12,7 @@ def transcribe_audio(audio_file):
     try:
         # Load and preprocess the audio
         audio, rate = librosa.load(audio_file, sr=16000)
-        chunk_size = 59 * rate  # 59-second chunks
+        chunk_size = 30 * rate  # 30-second chunks
         transcription = []
 
         for i in range(0, len(audio), chunk_size):
@@ -29,8 +29,7 @@ def transcribe_audio(audio_file):
 
         return " ".join(transcription)
     except Exception as e:
-        print(f"Error during transcription: {e}")
-        return "An error occurred during transcription."
+        return f"Error: {str(e)}"
 
 # Gradio interface setup
 iface = gr.Interface(