import gradio as gr from suggestion import generate_outfit_advice from clothGen import cloth_gen from user_dress import user_dress import requests import os from io import BytesIO from PIL import Image from cal_compatibility import cal_compatibility gen_pic_num = 6 def get_select_index(evt: gr.SelectData, gallery): print(gallery[evt.index][0]) # response = requests.get(gallery[evt.index][0]) # img = Image.open(BytesIO(response.content)) return gallery[evt.index][0] with gr.Blocks(css="styles.css", theme=gr.themes.Base()) as demo: with gr.Row(): # 左侧模块 with gr.Column(scale=1): with gr.Row(): gr.Markdown("" "# 用户信息" "") with gr.Row(): text_input1 = gr.Textbox(label="用户姓名", min_width=100) text_input2 = gr.Textbox(label="身高", min_width=100) text_input3 = gr.Textbox(label="体重", min_width=100) text_input4 = gr.Textbox(label="腰围", min_width=100) text_input5 = gr.Textbox(label="胸围", min_width=100) text_input6 = gr.Textbox(label="臀围", min_width=100) text_input7 = gr.Textbox(label="肩宽", min_width=100) text_input8 = gr.Textbox(label="腿长", min_width=100) text_input9 = gr.Textbox(label="臂长", min_width=100) dropdown_options1 = ["男", "女"] dropdown_input1 = gr.Dropdown(choices=dropdown_options1, label="性别", min_width=100) dropdown_options2 = ["胖", "瘦"] dropdown_input2 = gr.Dropdown(choices=dropdown_options2, label="体型分类", min_width=100) dropdown_options3 = ["黑", "黄", "白"] dropdown_input3 = gr.Dropdown(choices=dropdown_options3, label="肤色", min_width=100) text_input10 = gr.Textbox(label="穿衣风格偏好", min_width=1000) text_input11 = gr.Textbox(label="生话方式和场景需求", min_width=1000) text_input12 = gr.Textbox(label="其他特殊需求", min_width=1000) with gr.Row(): user_pic = gr.Image(label="用户照片", value="model.jpg", height=550, width=300) # 右侧模块 with gr.Column(scale=2): with gr.Row(): gr.Markdown("" "# 穿搭建议" "") with gr.Row(): text_output1 = gr.Textbox(label="穿搭建议", lines=12, max_lines=12, interactive=False, show_label=False, min_width=1000) submit_button_1 = gr.Button("AI智能分析，生成穿搭建议", min_width=1000) # 这里调用模型输出穿搭建议 submit_button_1.click(fn=generate_outfit_advice, inputs=[text_input1, text_input2, text_input3, text_input4, text_input5, text_input6, text_input7, text_input8, text_input9, dropdown_input1, dropdown_input2, dropdown_input3, text_input10, text_input11, text_input12, user_pic], outputs=text_output1) image_output_1 = gr.Image(label="显示图像", value="image 209.png") gallery_1 = gr.Gallery( label="上装", elem_id="gallery", value=[ # os.path.join(example_path, '上衣/_WEB_2016_09_26__2016092617451357e8ee2957aa1_TD.jpg'), # os.path.join(example_path, '上衣/_WEB_2016_09_27__2016092717211057ea3a069c749_TD.jpg'), # os.path.join(example_path, '上衣/_WEB_2016_09_27__2016092717391657ea3e446ce3f_TD.jpg'), # os.path.join(example_path, '上衣/_WEB_2016_09_27__2016092717573057ea428a305bc_TD.jpg'), # os.path.join(example_path, '上衣/_WEB_2016_09_28__2016092810150157eb27a56a631_TD.jpg'), # os.path.join(example_path, '上衣/_WEB_2016_09_28__2016092810464557eb2f15e1df3_TD.jpg'), ], columns=[4], rows=[2], object_fit="contain", height=250, min_width=450) # selected = gr.Number(show_label=False, visible=False) # gallery_2 = gr.Gallery( # label="下装", elem_id="gallery", # value=[ # os.path.join(example_path, '裙/_WEB_2017_01_16__20170116144757587c6c9d6110d_TD.jpg'), # os.path.join(example_path, '裙/_WEB_2017_01_16__20170116150051587c6fa38aa08_TD.jpg'), # os.path.join(example_path, '裙/_WEB_2017_01_16__20170116151007587c71cf63864_TD.jpg'), # os.path.join(example_path, '裙/_WEB_2017_01_16__20170116151641587c7359ab8f3_TD.jpg'), # os.path.join(example_path, '裙/_WEB_2017_01_16__20170116152244587c74c439389_TD.jpg'), # os.path.join(example_path, '裙/_WEB_2017_01_17__20170117120901587d98dd09fd5_TD.jpg'), # ], # columns=[6], rows=[1], object_fit="contain", height=145, min_width=450) gallery_3 = gr.Gallery( label="配饰", elem_id="gallery", value=[ 'downloads/access_1.jpg', 'downloads/access_2.jpg', 'downloads/access_3.jpg', 'downloads/access_4.jpg', 'downloads/access_5.jpg', 'downloads/access_6.jpg', ], columns=[4], rows=[2], object_fit="contain", height=250, min_width=450) submit_button_2 = gr.Button("AI智能分析，生成民族服饰") with gr.Column(scale=2): with gr.Row(): gr.Markdown("" "# 搭配生成" "") with gr.Row(): gallery_4 = gr.Gallery( label="套装", elem_id="gallery", value=[ ], columns=[3], rows=[1], object_fit="contain", height=200, min_width=450) with gr.Row(): submit_button_3 = gr.Button("服饰及搭配兼容性排序") with gr.Row(): image_output_5 = gr.Image(label="显示图像", show_label=False, min_width=300, height=350) with gr.Row(): submit_button_4 = gr.Button("虚拟试穿") with gr.Row(): with gr.Column(scale=1): image_output_6 = gr.Image(label="显示图像", show_label=False, min_width=200, height=350) with gr.Column(scale=1): feedback = gr.Textbox(label="反馈", value="可以从款式、颜色、图案、风格倾向、文化偏好角度进行反馈", lines=1, max_lines=1, elem_id="feedback") submit_button_5 = gr.Button("反馈") # com_output = gr.Textbox(label="适配度") submit_button_2.click(fn=cloth_gen, inputs=[text_output1, dropdown_input1], outputs=gallery_1) gallery_1.select(get_select_index, gallery_1, image_output_5) submit_button_3.click(fn=cal_compatibility, inputs=[], outputs=[gallery_4]) # user_pic_url = user_pic.value['url'] submit_button_4.click(fn=user_dress, inputs=[user_pic, image_output_5], outputs=image_output_6) submit_button_5.click(fn=generate_outfit_advice, inputs=[text_input1, text_input2, text_input3, text_input4, text_input5, text_input6, text_input7, text_input8, text_input9, dropdown_input1, dropdown_input2, dropdown_input3, text_input10, text_input11, feedback, user_pic], outputs=text_output1) demo.launch(server_port=7860, share=True)