Update app.py

app.py

@@ -7,8 +7,8 @@ model = GPT2LMHeadModel.from_pretrained("gpt2")
 tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
 
 def predict_fake_news(text):
-    input_ids = tokenizer.encode(text, return_tensors='pt')
-    output = model.generate(input_ids, max_length=50, num_return_sequences=1)
+    input_ids = tokenizer.encode(text, return_tensors='pt', add_special_tokens=True)
+    output = model.generate(input_ids, max_length=50, num_return_sequences=1, pad_token_id=tokenizer.eos_token_id, attention_mask=input_ids)
     generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
     
     fake_confidence = 1 if "fake" in generated_text.lower() else 0