Update app.py

app.py

@@ -15,7 +15,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = model.to(device)
 
 def get_response(text):
-  batch = tokenizer([input_text],truncation=True,padding='longest',max_length=60, return_tensors="pt").to(device)
+  batch = tokenizer([text],truncation=True,padding='longest',max_length=60, return_tensors="pt").to(device)
   translated = model.generate(**batch,max_length=60, do_sample=True, num_return_sequences=10, temperature=1.5)
   tgt_text = tokenizer.batch_decode(translated, skip_special_tokens=True)
   return tgt_text