Update app.py

app.py

@@ -8,7 +8,7 @@ model = AutoModelForCausalLM.from_pretrained('TrLOX/gpt2-tdk')
 
 def text_generation(keywords, domain):
   input_ids = tokenizer('keyword ' + keywords + ' domain ' + domain + ' title', return_tensors="pt").input_ids
-  torch.manual_seed(random.seed(18446744073709551615))
+  torch.manual_seed(random.randint(0,18446744073709551615))
   outputs = model.generate(input_ids, do_sample=True, min_length=50, max_length=250)
   generated_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)
   return generated_text[0]