ignore whitespace inputs

app.py

@@ -39,34 +39,34 @@ print(src_text)
 
 if src_text == "":
     st.warning("Please **enter text** for translation")
-
-# translate into english sentence
-if translation_mode == translation_list[0]:
-    model = ko2en_model
 else: 
-    model = en2ko_model
-
-translation_result = model.generate(
-    **tokenizer(
-        src_text,
-        return_tensors="pt",
-        padding="max_length",
-        truncation=True,
+    # translate into english sentence
+    if translation_mode == translation_list[0]:
+        model = ko2en_model
+    else: 
+        model = en2ko_model
+
+    translation_result = model.generate(
+        **tokenizer(
+            src_text,
+            return_tensors="pt",
+            padding="max_length",
+            truncation=True,
+            max_length=64,
+        ),
         max_length=64,
-    ),
-    max_length=64,
-    num_beams=5,
-    repetition_penalty=1.3,
-    no_repeat_ngram_size=3,
-    num_return_sequences=1,
-)
-translation_result = tokenizer.decode(
-    translation_result[0],
-    clean_up_tokenization_spaces=True,
-    skip_special_tokens=True,
-)
-
-print(f"{src_text} -> {translation_result}")
-
-st.write(translation_result)
-print(translation_result)
+        num_beams=5,
+        repetition_penalty=1.3,
+        no_repeat_ngram_size=3,
+        num_return_sequences=1,
+    )
+    translation_result = tokenizer.decode(
+        translation_result[0],
+        clean_up_tokenization_spaces=True,
+        skip_special_tokens=True,
+    )
+
+    print(f"{src_text} -> {translation_result}")
+
+    st.write(translation_result)
+    print(translation_result)