Update app.py

app.py

@@ -154,10 +154,10 @@ def chunk_text(text, max_chars):
     Returns:
         List[str]: A list of text chunks.
     """
-    if max_chars > 105:
-        max_chars = 105
-    if max_chars < 40:
-        max_chars = 40
+    if max_chars > 135:
+        max_chars = 135
+    if max_chars < 50:
+        max_chars = 50
 
     
         
@@ -396,9 +396,9 @@ def infer(ref_audio_orig, ref_text, gen_text, exp_name, remove_silence, cross_fa
         
         
         audio_duration = len(aseg)
-        if audio_duration > 8000:
-            gr.Warning("Audio is over 8s, clipping to only first 8s.")
-            aseg = aseg[:8000]
+        if audio_duration > 10000:
+            gr.Warning("Audio is over 10s, clipping to only first 10s.")
+            aseg = aseg[:10000]
         aseg.export(f.name, format="wav")
         ref_audio = f.name
 
@@ -427,7 +427,7 @@ 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(speed * 0.5 * (len(ref_text.encode('utf-8')) / (audio.shape[-1] / sr) * (18 - audio.shape[-1] / sr )))
+    max_chars = int(speed * 0.5 * (len(ref_text.encode('utf-8')) / (audio.shape[-1] / sr) * (20 - audio.shape[-1] / sr )))
     print(f"text: {max_chars} ")
     gen_text_batches = chunk_text(gen_text, max_chars=max_chars)
     print('ref_text', ref_text)