Update app.py

app.py

@@ -68,7 +68,7 @@ MAX_TXT_LEN = 100
 
 def predict_and_ctc_lm_decode(input_file, speaker_idx: str=None):
     speech = load_and_fix_data(input_file, sampling_rate)
-    transcribed_text = asr(speech, chunk_length_s=5, stride_length_s=1)
+    transcribed_text = asr(speech, chunk_length_s=10, stride_length_s=1)
     transcribed_text = transcribed_text["text"]
     inputs = tokenizer([prefix + transcribed_text], return_tensors="pt", padding=True)
     with torch.no_grad():