Update app.py

app.py

@@ -324,7 +324,7 @@ def infer(ref_audio_orig, ref_text, gen_text, exp_name, remove_silence, cross_fa
         
         ref_text = pipe(
             ref_audio,
-            chunk_length_s=20,
+            chunk_length_s=30,
             batch_size=128,
             generate_kwargs={"task": "transcribe","language": language_code  # Use the variable here
             },
@@ -344,7 +344,7 @@ def infer(ref_audio_orig, ref_text, gen_text, exp_name, remove_silence, cross_fa
     audio, sr = torchaudio.load(ref_audio)
 
     # Use the new chunk_text function to split gen_text
-    max_chars = int(len(ref_text.encode('utf-8')) / (audio.shape[-1] / sr) * (25 - audio.shape[-1] / sr))
+    max_chars = int(len(ref_text.encode('utf-8')) / (audio.shape[-1] / sr) * (28 - audio.shape[-1] / sr))
     gen_text_batches = chunk_text(gen_text, max_chars=135)
     print('ref_text', ref_text)
     for i, batch_text in enumerate(gen_text_batches):