Update app.py

app.py

@@ -81,12 +81,11 @@ gpt2_tkn=GPT2Tokenizer.from_pretrained('gpt2')
 def generate(starting_text):
     tkn_ids = gpt2_tkn.encode(starting_text, return_tensors = 'pt')
     gpt2_tensors = mdl.generate(tkn_ids,max_length=100,no_repeat_ngram_size=True,num_beams=3,do_sample=True,temperatue=0.1)
-    # response = gpt2_tensors
     response=""
+    #response = gpt2_tensors
     for i, x in enumerate(gpt2_tensors):
        response=response+f"{i}: {gpt2_tkn.decode(x, skip_special_tokens=True)}"
     return response
-
 txt=grad.Textbox(lines=1, label="English", placeholder="English Text here")
-out=grad.Textbox(lines=1, label="Generated Tensors")
+out=grad.Textbox(lines=1, label="Generated Text")
 grad.Interface(generate, inputs=txt, outputs=out).launch()