Update app.py

app.py

@@ -45,10 +45,9 @@ def predict(text, voice='af_heart', speed=1):
     return generate_first(text, voice, speed, use_gpu=False)[0]
 
 def tokenize_first(text, voice='af_heart'):
-    pipeline = pipelines[voice[0]]
-    for _, ps, _ in pipeline(text, voice):
-        return ps
-    return ''
+    # Split the input text into words and return as a list
+    words = text.split()
+    return ' '.join(words)  # Return the words as a space-separated string
 
 def generate_all(text, voice='af_heart', speed=1, use_gpu=CUDA_AVAILABLE):
     text = text if CHAR_LIMIT is None else text.strip()[:CHAR_LIMIT]