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import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

MODEL_ID = "naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B"

tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
model = AutoModelForCausalLM.from_pretrained(MODEL_ID)
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, device=-1)  # CPU 강제

def generate_text(prompt):
    output = pipe(prompt, max_new_tokens=100, do_sample=True, temperature=0.7)
    return output[0]['generated_text']

iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="HyperCLOVAX Counseling Bot")
iface.launch()