chore: test duration

app.py

@@ -14,7 +14,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 classifier = pipeline("text-classification", model="saiteki-kai/QA-DeBERTa-v3-large-threshold-v2")
 
-@spaces.GPU(duration=120)
+@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.