Update app.py

app.py

@@ -11,12 +11,12 @@ hindi_tokenizer = joblib.load('hindi_tokenizer')
 
 def generate_text(txts):
     txts = txts.split()
+    tmp_tok = english_tokenizer.texts_to_sequences(txts)
+    tmp_pad = pad_sequences(tmp_tok, padding='post', maxlen=100, truncating='post')
+    tmp_preds = model.predict(tmp_pad,verbose=0)
     res = []
-    for txt in txts:
-        tmp_tok = english_tokenizer.texts_to_sequences([txt])
-        tmp_pad = pad_sequences(tmp_tok, padding='post', maxlen=100, truncating='post')
-        tmp_preds = model.predict(tmp_pad,verbose=0)
-        text2 = hindi_tokenizer.sequences_to_texts([[np.argmax(p)] for p in tmp_preds[0]])
+    for pred in tmp_preds:
+        text2 = hindi_tokenizer.sequences_to_texts([[np.argmax(p)] for p in pred])
         res.append("".join(text2))
     return " ".join(res)