Update app.py

app.py

@@ -8,9 +8,9 @@ model = T5ForConditionalGeneration.from_pretrained('deep-learning-analytics/Gram
 
 def correct_grammar(input_text,num_return_sequences=1):
   batch = tokenizer([input_text],truncation=True,padding='max_length',max_length=64, return_tensors="pt").to(torch_device)
-  translated = model.generate(**batch,max_length=64,num_beams=2, num_return_sequences=num_return_sequences, temperature=1.5)
-  tgt_text = tokenizer.batch_decode(translated, skip_special_tokens=True)
-  return tgt_text
+  results = model.generate(**batch,max_length=64,num_beams=2, num_return_sequences=num_return_sequences, temperature=1.5)
+  answer = tokenizer.batch_decode(results[0], skip_special_tokens=True)
+  return answer
   
-iface = gr.Interface(fn=correct_grammar, inputs=[gr.inputs.Textbox(lines=5)],outputs=["text"])
+iface = gr.Interface(fn=correct_grammar, inputs=[gr.inputs.Textbox(lines=5)], outputs=["text"])
 iface.launch(inline=False, share=True)