import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

def greet(name):
    checkpoint = "Salesforce/codegen-350M-mono"
    model = AutoModelForCausalLM.from_pretrained(checkpoint)
    tokenizer = AutoTokenizer.from_pretrained(checkpoint)
    text = "def hello_world():"
    completion = model.generate(**tokenizer(text, return_tensors="pt"))
    return tokenizer.decode(completion[0])
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()