Update app.py

Decode tensors into text

app.py

@@ -172,7 +172,10 @@ 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)
-    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)}" # Decode tensors into text
     return response
 
 txt=grad.Textbox(lines=1, label="English", placeholder="English Text here")