Update app.py

app.py

@@ -10,7 +10,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 def generate_text(prompt):
     inputs = tokenizer(prompt, return_tensors="pt")
     outputs = model.generate(inputs['input_ids'], max_length=100, num_return_sequences=1)
-    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=False)
     return generated_text
 
 # Set up the Gradio interface