Upload app.py

app.py

@@ -314,10 +314,10 @@ def generate(text, voice='af', ps=None, speed=1, trim=0.5, use_gpu='auto', sk=No
             out = forward(tokens, voices, speed, sk)
         else:
             raise gr.Error(e)
-            print(debug, datetime.now(), voices, len(ps), use_gpu, repr(e))
+            print(debug, datetime.now(), voices, text, len(ps), use_gpu, repr(e))
             return (None, '')
     out = trim_if_needed(out, trim)
-    print(debug, datetime.now(), voices, len(ps), use_gpu, len(out))
+    print(debug, datetime.now(), voices, text, len(ps), use_gpu, len(out))
     return ((SAMPLE_RATE, out), ps)
 
 def toggle_autoplay(autoplay):
@@ -625,7 +625,7 @@ def lf_generate(segments, voice, speed=1, trim=0, pad_between=0, use_gpu=True, s
     while i < len(token_lists):
         bs = batch_sizes.pop() if batch_sizes else 100
         tokens = token_lists[i:i+bs]
-        print('📖', datetime.now(), len(tokens), voices, use_gpu)
+        print('📖', datetime.now(), len(tokens), voices, use_gpu, segments['Text'])
         try:
             if use_gpu:
                 outs = lf_forward_gpu(tokens, voices, speed, sk)
@@ -732,7 +732,7 @@ The API has been restricted due to high request volume impacting CPU latency.
 Inference code: MIT<br/>
 [eSpeak NG](https://github.com/espeak-ng/espeak-ng): GPL-3.0<br/>
 Random English texts: Unknown from [Quotable Data](https://github.com/quotable-io/data/blob/master/data/quotes.json)<br/>
-Random Japanese texts: CC0 public domain from [Common Voice](https://github.com/common-voice/common-voice/tree/main/server/data/ja)
+Other random texts: CC0 public domain from [Common Voice](https://github.com/common-voice/common-voice)
 ''')
 '''
 This Space can be used via API. The following code block can be copied and run in one Google Colab cell.