import gradio as gr
import my_uie
import face_emo_analysize


def text_emo_analysize(text):
    text_outcome = my_uie.emo_analy(text)
    return text_outcome


def face_emo_analyze():
    # 假设 face_emo_analysize.face_emo_analysize() 会打开摄像头并捕获表情
    face_outcome = face_emo_analysize.face_emo_analysize()
    return face_outcome


# 创建Gradio界面
with gr.Blocks() as demo:
    gr.Markdown("# 情感分析应用")
    gr.Markdown("输入信息，获取情感分析结果。")

    with gr.Row():
        with gr.Column():
            text_input = gr.Textbox(lines=2, placeholder='在这里输入文本')
            text_submit_button = gr.Button("提交文本情感分析")
        text_output = gr.Textbox(label="文本情感分析结果")

    with gr.Row():
        face_button = gr.Button("执行面部情感分析")
        face_output = gr.Textbox(label="面部情感分析结果")


    def on_face_button_click():


        # 调用 face_emo_analyze 函数并返回结果
        face_outcome = face_emo_analyze()
        return face_outcome


    face_button.click(on_face_button_click, inputs=None, outputs=face_output)
    text_submit_button.click(text_emo_analysize, inputs=text_input, outputs=text_output)

demo.launch()