feat: remove system message

app.py

@@ -17,7 +17,6 @@ classifier = pipeline("text-classification", model="saiteki-kai/QA-DeBERTa-v3-la
 @spaces.GPU(duration=60)
 def generate(message):
     messages = [
-        {"role": "system", "content": "You are a helpul assistant named Zurich, a 14 billion parameter Large Language model, you were fine-tuned and trained by Ruben Roy. You have been trained with the GammaCorpus v2 dataset, a dataset filled with structured and filtered multi-turn conversations, this was also made by Ruben Roy."}, # Attribution to Qwen is not included to prevent hallucinations.
         {"role": "user", "content": message}
     ]
     text = tokenizer.apply_chat_template(