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import gradio as gr | |
from sugg_gene import suggest_gene | |
from clothGen import cloth_gen | |
from user_dress import user_cloths | |
import requests | |
import os | |
from io import BytesIO | |
from PIL import Image | |
from cal_compatibility import cal_compatibility | |
gen_pic_num = 6 | |
save_directory = "downloads" | |
def get_select_index(evt: gr.SelectData, gallery): | |
print(gallery[evt.index][0]) | |
with open(os.path.join(save_directory, f"cloth_intro_{evt.index//2+1}.txt"), "r") as f: | |
introduction = f.read() | |
return gallery[evt.index][0], introduction | |
def update_choices(dropout1, dropout2,): | |
if dropout1 == "男": | |
option = ['倒三角形', '矩形', '苹果形', '沙漏型', '胖型'] | |
else: | |
option = ["梨形", "草莓形", "沙漏形", "标准", "苹果形"] | |
dropout2 = gr.Dropdown(choices=option) | |
return dropout2 | |
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/cm", min_width=100) | |
text_input3 = gr.Textbox(label="体重/kg", min_width=100) | |
text_input4 = gr.Textbox(label="腰围/cm", min_width=100) | |
text_input5 = gr.Textbox(label="胸围/cm", min_width=100) | |
text_input6 = gr.Textbox(label="臀围/cm", min_width=100) | |
text_input7 = gr.Textbox(label="肩宽/cm", min_width=100) | |
text_input8 = gr.Textbox(label="腿长/cm", min_width=100) | |
text_input9 = gr.Textbox(label="臂长/cm", min_width=100) | |
dropdown_options1 = ["女", "男"] | |
dropdown_input1 = gr.Dropdown(choices=dropdown_options1, label="性别", min_width=100) | |
dropdown_input2 = gr.Dropdown(choices=["梨形", "草莓形", "沙漏形", "标准", "苹果形"], label="体型分类", min_width=100) | |
dropdown_input1.change(fn=update_choices, inputs=[dropdown_input1, dropdown_input2], outputs=dropdown_input2) | |
dropdown_options3 = ["浅色", "中等偏黄色", "中等偏褐色", "深色"] | |
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) | |
image_output_1 = gr.Image(label="显示图像", value="image 209.png") | |
gallery_1 = gr.Gallery( | |
label="服装", elem_id="gallery", interactive=False, | |
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) | |
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=180, 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=200, height=350, interactive=False) | |
intro = gr.Textbox(label="服饰介绍", lines=14, max_lines=14) | |
with gr.Row(): | |
gallery_user = gr.Gallery( | |
label="试穿结果", | |
elem_id="gallery", | |
value=[], | |
columns=[3], rows=[2], | |
object_fit="contain", | |
min_width=200, | |
height=350, | |
) | |
with gr.Row(): | |
submit_button_4 = gr.Button("虚拟试穿") | |
with gr.Row(): | |
feedback = gr.Textbox(label="反馈", placeholder="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") | |
with gr.Row(): | |
submit_button_5 = gr.Button("反馈") | |
with gr.Row(): | |
gr.Markdown(""" | |
女性体型备注: | |
1. **梨形身材**:臀围比胸围**至少大5.08厘米** | |
2. **草莓形身材**:臀围比胸围**至少小5.08厘米** | |
3. **沙漏形身材**:胸围比腰围**至少大3.81厘米**且腰部线条明显 | |
4. **标准身材**:胸围比腰围**至少大3.81厘米**且腰部线条不明显 | |
5. **苹果形身材**:胸围比腰围**至少小3.81厘米** | |
男性体型备注: | |
1. **倒三角形身材**:肩宽比腰围**至少大10厘米** | |
2. **矩形身材**:肩宽与腰围的差异**小于5厘米** | |
3. **苹果形身材**:腰围比肩宽**至少大7.5厘米** | |
4. **沙漏型身材**:腰围比肩宽或臀围**至少小10厘米**,且肩宽和臀围的差异**小于5厘米** | |
5. **胖型身材**:腰围比胸围或肩宽**至少大10厘米** | |
""") | |
submit_button_1.click(fn=suggest_gene, | |
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, | |
feedback, user_pic], | |
outputs=[text_output1]) | |
submit_button_2.click(fn=cloth_gen, | |
inputs=dropdown_input1, | |
outputs=[gallery_1, image_output_5, intro]) | |
gallery_1.select(fn=get_select_index, inputs=gallery_1, outputs=[image_output_5, intro]) | |
submit_button_3.click(fn=cal_compatibility, | |
inputs=[], | |
outputs=[gallery_4]) | |
submit_button_4.click(fn=user_cloths, | |
inputs=[user_pic, image_output_5], | |
outputs=gallery_user) | |
submit_button_5.click(fn=suggest_gene, | |
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, | |
feedback, user_pic], | |
outputs=[text_output1]) | |
demo.launch(server_port=7860, share=True) | |