Update app.py

app.py

@@ -414,8 +414,8 @@ 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(0.5 * (len(ref_text.encode('utf-8')) / (audio.shape[-1] / sr) * (15 - audio.shape[-1] / sr )))
-    print(f"text: {gen_text} ")
+    max_chars = int(0.333 * (len(ref_text.encode('utf-8')) / (audio.shape[-1] / sr) * (18 - audio.shape[-1] / sr )))
+    print(f"text: {max_chars} ")
     gen_text_batches = chunk_text(gen_text, max_chars=100)
     print('ref_text', ref_text)
     for i, batch_text in enumerate(gen_text_batches):