Update app.py

app.py

@@ -7,26 +7,27 @@ theme = gr.themes.Base(
 )
 voicelist = ['f-us-1', 'f-us-2', 'f-us-3', 'f-us-4', 'm-us-1', 'm-us-2', 'm-us-3', 'm-us-4']
 voices = {}
+// todo cache computed style
 for v in voicelist:
     voices[v] = styletts2importable.compute_style(f'voices/{v}.wav')
 def synthesize(text, voice):
     if text.strip() == "":
         raise gr.Error("You must enter some text")
-    if len(text) > 500:
-        raise gr.Error("Text must be under 500 characters")
+    if len(text) > 300:
+        raise gr.Error("Text must be under 300 characters")
     v = voice.lower()
     return (24000, styletts2importable.inference(text, voices[v], alpha=0.3, beta=0.7, diffusion_steps=7, embedding_scale=1))
 def clsynthesize(text, voice):
     if text.strip() == "":
         raise gr.Error("You must enter some text")
-    if len(text) > 500:
-        raise gr.Error("Text must be under 500 characters")
+    if len(text) > 300:
+        raise gr.Error("Text must be under 300 characters")
     return (24000, styletts2importable.inference(text, styletts2importable.compute_style(voice), alpha=0.3, beta=0.7, diffusion_steps=20, embedding_scale=1))
 def ljsynthesize(text):
     if text.strip() == "":
         raise gr.Error("You must enter some text")
-    if len(text) > 500:
-        raise gr.Error("Text must be under 500 characters")
+    if len(text) > 300:
+        raise gr.Error("Text must be under 300 characters")
     noise = torch.randn(1,1,256).to('cuda' if torch.cuda.is_available() else 'cpu')
     return (24000, ljspeechimportable.inference(text, noise, diffusion_steps=7, embedding_scale=1))