Update app.py

app.py

@@ -12,9 +12,16 @@ model = CombinedModel("facebook/mms-1b-all", "Sunbird/sunbird-mul-en-mbart-merge
 def preprocess_audio(audio_file):
     speech, sample_rate = librosa.load(audio_file, sr=16000, mono=True)
     chunk_size = 10 * 16000
-    chunks = [speech[i:i + chunk_size] for i in range(0, len(speech), chunk_size)]
+    chunks = []
+    for i in range(0, len(speech), chunk_size):
+        chunk = speech[i:i + chunk_size]
+        if len(chunk) < chunk_size:
+            # Pad the last chunk if its duration is less than 10 seconds
+            chunk = np.pad(chunk, (0, chunk_size - len(chunk)))
+        chunks.append(chunk)
     return chunks
 
+
 def transcribe(chunks):
     transcriptions = []
     translations = []