Update app.py

app.py

@@ -27,13 +27,11 @@ model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-m
 tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-many-to-many-mmt")
 tokenizer.src_lang = "en_XX"
 text_l=st.text_area('Input sentence:', key=2)
-encoded_en = tokenizer(text_l, return_tensors="pt")
-generated_tokens = model.generate(
-    **encoded_en,
-    forced_bos_token_id=tokenizer.lang_code_to_id["hi_IN"]
-)
-out_l=tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
-st.text_area(label="Output sentence:", value=out_l)
+if text_l:
+    encoded_en = tokenizer(text_l, return_tensors="pt")
+    generated_tokens = model.generate(**encoded_en,forced_bos_token_id=tokenizer.lang_code_to_id["hi_IN"])
+    out_l=tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
+    st.text_area(label="Output sentence:", value=out_l)
 
 pipe_p=pipeline(model="ramsrigouthamg/t5_sentence_paraphraser")
 st.title("Paraphraser")