Update app.py

app.py

@@ -19,8 +19,29 @@ speaker_embeddings = {
 
 
 def predict(text, speaker):
-    if len(text.strip()) == 0:
-        return (16000, np.zeros(0).astype(np.int16))
+   if len(text.strip()) == 0 or len(text.strip())>200:
+        text="Du måste ha minst ett och max 200 tecken."
+    ar=[int(s) for s in re.findall(r'\b\d+\b',text)]
+    for arr in ar:
+        text=text.replace(str(arr),num2words(arr,lang="sv"))
+    repl = [
+    ('Ä', 'ae'),
+    ('Å', 'o'),
+    ('Ö', 'oe'),
+    ('ä', 'ae'),
+    ('å', 'o'),
+    ('ö', 'oe'),
+    ('ô','oe'),
+    ('-',''),
+    ('‘',''),
+    ('’',''),
+    ('“',''),
+    ('”',''),
+    ]
+
+
+    for src, dst in repl:
+        text = text.replace(src, dst)
 
     inputs = processor(text=text, return_tensors="pt")