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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() |