Update app.py

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 from transformers import T5Tokenizer, T5ForConditionalGeneration, AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 import torch
+import os
 
 # Create the app layout
 st.header("Text Machine Translation")
@@ -58,6 +59,7 @@ if submit_button:
         url = os.environ('GTRANSURL')
         params = {'sl': sselected_language, 'tl': tselected_language, 'dt': 't', 'ie': 'UTF-8', 'oe': 'UTF-8', 'q': input_text}
         translated_text = requests.get(url, params=params).text[0][0]
+        print(translated_text.url)
     elif model_name.startswith('t5'):
         prompt = f'translate {sselected_language} to {tselected_language}: {input_text}'
         print(prompt)