| import gradio as gr | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom") | |
| model = AutoModelForCausalLM.from_pretrained( | |
| "bigscience/bloom", | |
| device_map="auto", | |
| torch_dtype="auto", | |
| ) | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() | |