| import gradio as gr | |
| from transformers import pipeline | |
| # GPT λͺ¨λΈ λΆλ¬μ€κΈ° | |
| generator = pipeline("text-generation", model="gpt2") | |
| # μ¬μ©μ μ λ ₯μ λ°μ κΈ μμ±νλ ν¨μ | |
| def generate_text(prompt): | |
| # μ¬μ©μ μ λ ₯μ λ°νμΌλ‘ κΈ μμ± | |
| generated_text = generator(prompt, max_length=100)[0]['generated_text'] | |
| return generated_text | |
| # Gradio UI μ μ | |
| def gr_interface(): | |
| return gr.Interface(fn=generate_text, inputs="text", outputs="text", title="νκ΅μ΄ ν μ€νΈ μμ±", description="μ λ ₯λ ν μ€νΈλ₯Ό λ°νμΌλ‘ νκ΅μ΄ ν μ€νΈλ₯Ό μμ±ν©λλ€.").launch() | |
| # Gradio μΈν°νμ΄μ€ μ€ν | |
| gr_interface() | |