Update app.py

app.py

@@ -10,7 +10,6 @@ examples = [["How are you?"]]
 
 tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-7B-Chat", trust_remote_code=True)
 model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B-Chat", device_map="auto", trust_remote_code=True).eval()
-model.generation_config = GenerationConfig.from_pretrained("Qwen/Qwen-7B-Chat", trust_remote_code=True) # Different generation length, top_p and other related super parameters can be specified.
 
 def predict(input, history=[]):
     # Check if input is not None and eos_token is not None