import gradio as gr, os

model = gr.load("models/fnlp/bart-base-chinese")

def generate_summary(file):
    with open(file.name, 'r', encoding='utf-8') as f:
        text_content = f.read()
    result = model.predict(text_content)
    
    return result

demo = gr.Interface(
    fn=generate_summary,
    inputs=gr.File(),
    outputs="text",
    live=True
)

# 启动应用
demo.launch()