Update app.py

app.py

@@ -7,7 +7,10 @@ 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 += f"{i}: {gpt2_tkn.decode(x, skip_special_tokens = True)}"
 
     return response