Update app.py

app.py

@@ -7,7 +7,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 # Load model and tokenizer
 model_name = "Salesforce/xLAM-1b-fc-r"
 
-title = f"# 🚀 Eval Model: {model_name}"
+title = f"# 🚀Eval Model: {model_name}"
 
 model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype="auto", trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -18,7 +18,7 @@ torch.random.manual_seed(0)
 @spaces.GPU
 def generate_response(query):
     messages = [
-        {'role': 'user', 'content': content}
+        {'role': 'user', 'content': query}
     ]
 
     inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)