import gradio as gr

def greet(name):
    return str(int(name)+10)

iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch() 

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-13b-chat-hf")
model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf")


print('')