import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("m-a-p/YuE-s1-7B-anneal-en-cot", legacy=False)
model = AutoModelForCausalLM.from_pretrained("m-a-p/YuE-s1-7B-anneal-en-cot")

def generate_text(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=50)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

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