Update app.py

app.py

@@ -89,10 +89,10 @@ def predict_and_ctc_lm_decode(input_file, speaker_idx: str=None):
                 # length_penalty=1.0, 
                 early_stopping=True# disable sampling to test if batching affects output
             )
-    preds = postproc(transcribed_text,
+    text = postproc(transcribed_text,
                      preds=tokenizer.decode(output_sequence[0], skip_special_tokens=True, clean_up_tokenization_spaces=True))
-    if len(preds) > MAX_TXT_LEN:
-        text = preds[:MAX_TXT_LEN] 
+    if len(text) > MAX_TXT_LEN:
+        text = text[:MAX_TXT_LEN]
         print(f"Input text was cutoff since it went over the {MAX_TXT_LEN} character limit.")
     print(text, model_name)
     # download model
@@ -110,7 +110,7 @@ def predict_and_ctc_lm_decode(input_file, speaker_idx: str=None):
     # synthesize
     if synthesizer is None:
         raise NameError("model not found")
-    wavs = synthesizer.tts(preds, speaker_idx)
+    wavs = synthesizer.tts(text, speaker_idx)
     # return output
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
         synthesizer.save_wav(wavs, fp)