import numpy as np import gradio as gr import os import commands.exec_path as exec_path import commands.driver_instance as driver_instance import glob import logging from commands.universal import searchQuery from ai.autocrop import autoCropImages from sites.pixiv import getOrderedPixivImages from sites.danbooru import getOrderedDanbooruImages from sites.zerochan import getOrderedZerochanImages from sites.yandex import getOrderedYandexImages logging.basicConfig(level=logging.INFO) class ImageGallery: def __init__(self): self.imgz = [] self.selected = 0 self.search_counter = 0 def return_images(self, image_locs): self.imgz = image_locs total_images = len(glob.glob('./Images/*')) if total_images >= 20: os.system("rm -r ./Images") os.makedirs("./Images") # Log the return value logging.info(self.imgz) return self.imgz if self.imgz else [] def get_select_index(self, evt: gr.SelectData): self.selected = evt.index return self.selected def send_number(self): return self.imgz[int(self.selected)], gr.Tabs(selected=0) # Create an instance of ImageGallery for each tab pixiv_gallery = ImageGallery() danbooru_gallery = ImageGallery() zerochan_gallery = ImageGallery() yandex_gallery = ImageGallery() # Helper functions def pix_imgs(searchQuery, num_pics, num_pages,searchTypes,viewRestriction,imageControl,n_likes, n_bookmarks, n_views, start_date, end_date, user_name, pass_word): driver = driver_instance.create_driver(profile=1) return pixiv_gallery.return_images(getOrderedPixivImages(driver=driver, exec_path=exec_path, user_search=searchQuery, num_pics=num_pics, num_pages=num_pages,searchTypes=searchTypes,viewRestriction=viewRestriction,imageControl=imageControl, n_likes=n_likes, n_bookmarks=n_bookmarks, n_views=n_views, start_date=start_date,end_date=end_date, user_name=user_name, pass_word=pass_word)) def danb_imgs(searchQuery, num_pics, num_pages, filters, bl_tags, inc_tags,imageControl): driver = driver_instance.create_driver() return danbooru_gallery.return_images(getOrderedDanbooruImages(driver=driver, user_search=searchQuery, num_pics=num_pics, num_pages=num_pages, filters=filters, bl_tags=bl_tags, inc_tags=inc_tags, exec_path=exec_path,imageControl=imageControl)) def zero_imgs(searchQuery, num_pics, num_pages, n_likes, filters,imageControl): driver = driver_instance.create_driver() return zerochan_gallery.return_images(getOrderedZerochanImages(driver=driver, exec_path=exec_path, user_search=searchQuery, num_pics=num_pics, num_pages=num_pages, n_likes=n_likes, filters=filters,imageControl=imageControl)) def yandex_imgs(searchQuery, num_pics, filters,imageOrientation): driver = driver_instance.create_driver() return yandex_gallery.return_images(getOrderedYandexImages(driver=driver, exec_path=exec_path, user_search=searchQuery, num_pics=num_pics, filters=filters,imageOrientation=imageOrientation)) # Feature Functions def open_folder(folder_path, mode=0): folder_opened = os.path.abspath(folder_path) if mode: folder_opened = os.path.abspath(os.path.join(folder_path, "cropped")) os.system(f'open "{folder_opened}"' if os.name == 'posix' else f'explorer "{folder_opened}"') def cropImages(image,crop_scale_factor): return autoCropImages(image,crop_scale_factor) def create_gallery_tab(tab_name, search_fn, search_inputs, gallery_instance, fn_on_click): with gr.Column(): gallery=gr.Gallery(label="Image Preview", preview=True, object_fit="cover", container=True, columns=5) with gr.Row(): crop_btn = gr.Button(value="Crop Selected Image",variant='secondary') crop_btn.click(fn=fn_on_click, outputs=[image,tabs]) open_btn = gr.Button(value="Open 📁",variant='secondary') open_btn.click(fn=open_folder, inputs=folder_input) with gr.Row(): gr.HTML('''

For testing purposes only. AI mode is set to be always on even if unchecked. You will experience lag due to hosting limitations, also due to extra throttling imposed

For the full experience, please check out the GitHub page:

Fsg-Pp - Finally Some Good Profile Pictures

''') gallery.select(gallery_instance.get_select_index, None) green_btn.click(search_fn, search_inputs, outputs=gallery) # Main Layout of the GUI with gr.Blocks(css='style.css') as demo: with gr.Tabs(selected=1) as tabs: folder_input = gr.Textbox(value="./Images/", label="Enter Folder Path", visible=False) # Automatic Crop Tab with gr.TabItem("Automatic Crop", id=0): with gr.Row(): with gr.Column(): image = gr.Image(type="filepath") crop_scale_factor = gr.Slider(0.5,3, value=1.2,step=0.1, label="Crop Scale Factor") with gr.Column(): outputImages = gr.Gallery(label="Cropped Image Preview", preview=True, object_fit="cover", container=True) with gr.Row(): green_btn = gr.Button(value="Crop Image", size='sm') green_btn.click(cropImages, [image,crop_scale_factor],outputs=outputImages) open_btn = gr.Button(value="Open 📁",variant='secondary', size='sm') open_btn.click(fn=open_folder, inputs=[folder_input,crop_scale_factor]) with gr.Row(): gr.HTML('''

For testing purposes only. AI mode is set to be always on even if unchecked. You will experience lag due to hosting limitations, also due to extra throttling imposed

For the full experience, please check out the GitHub page:

Fsg-Pp - Finally Some Good Profile Pictures

''') # Pixiv Tab with gr.TabItem("Pixiv", id=1): with gr.Row(): with gr.Column(): searchQuery = gr.Textbox(label="Search Query", placeholder="Suggested to use the char's full name") with gr.Row(): num_pics = gr.Slider(1,4, value=2, step=int, label="Number of Pictures") with gr.Row(): num_pages = gr.Slider(1,3, value=1, step=int, label="Number of Pages") with gr.Row(): with gr.Column(): with gr.Row(): searchTypes = gr.CheckboxGroup(["Premium Search","Freemium"], value=["Freemium"], label="Search Type", type="index", elem_id="pixiv") with gr.Row(): viewRestriction = gr.CheckboxGroup(["PG","R-18"],label="Viewing Restriction (Default: Account Settings)",type="index",elem_id="viewing-restrictions") with gr.Row(elem_id='button-row'): green_btn = gr.Button(value="Search") with gr.Row(): imageControl = gr.CheckboxGroup(["Full Res", "Continue Search","Search by Oldest", "AI Classifier"], value=["Full Res"], label="Image Control", type="index",elem_id="pixiv-filters") with gr.Row(): with gr.Row(): n_likes = gr.Number(value=0, label="Filter by Likes") with gr.Row(): n_bookmarks = gr.Number(value=0, label="Filter by Bookmarks") with gr.Row(): n_views = gr.Number(value=0, label="Filter by Views") with gr.Row(): start_date = gr.Textbox(label="Start date", placeholder=("2016-01-22 YEAR-MONTH-DAY")) with gr.Row(): end_date = gr.Textbox(label="End date", placeholder=("2022-09-22 YEAR-MONTH-DAY")) with gr.Row(): user_name = gr.Textbox(label="Email", type="email") with gr.Row(): pass_word = gr.Textbox(label="Password", type="password") pixiv_inputs = [searchQuery, num_pics, num_pages,searchTypes,viewRestriction,imageControl,n_likes, n_bookmarks, n_views, start_date,end_date, user_name, pass_word] create_gallery_tab("Pixiv", pix_imgs, pixiv_inputs, pixiv_gallery, pixiv_gallery.send_number) # Danbooru Tab with gr.TabItem("Danbooru", id=2): with gr.Row(): with gr.Column(): searchQuery = gr.Textbox(label="Search Query", placeholder="Suggested to use the char's full name") with gr.Row(): num_pics = gr.Slider(1,4, value=2, step=int, label="Number of Pictures") with gr.Row(): num_pages = gr.Slider(1,3, value=1, step=int, label="Number of Pages") with gr.Row(): filters = gr.CheckboxGroup(["Score", "Exact Match", "More PG", "Sensitive", "Strictly PG", "AI Classifier"], label="Filters", type="index", elem_id="filtering") with gr.Row(): imageControl = gr.CheckboxGroup(["Continue Search"], label="Image Control", type="index", elem_id="imageControl") with gr.Row(): bl_tags = gr.Textbox(label="Tags to Filter", placeholder=("Add stuff like typical undergarments etc to ensure complete pg friendliness"),lines=2) with gr.Row(): inc_tags = gr.Textbox(label="Tags to Include", placeholder=("1girl, 1boy for profile pictures")) green_btn = gr.Button(value="Search") danbooru_inputs = [searchQuery, num_pics, num_pages, filters, bl_tags, inc_tags,imageControl] create_gallery_tab("Danbooru", danb_imgs, danbooru_inputs, danbooru_gallery, danbooru_gallery.send_number) # Zerochan Tab with gr.TabItem("Zerochan", id=3): with gr.Row(): with gr.Column(): searchQuery = gr.Textbox(label="Search Query", placeholder="Suggested to use the char's full name") with gr.Row(): num_pics = gr.Slider(1,4, value=2, step=int, label="Number of Pictures") with gr.Row(): num_pages = gr.Slider(1,3, value=1, step=int, label="Number of Pages") with gr.Row(): with gr.Row(): n_likes = gr.Number(value=0, label="Filter by Likes") with gr.Row(): filters = gr.CheckboxGroup(["AI Classifier"], label="Filters", type="index",elem_id="zeroAIhover") with gr.Column(): imageControl = gr.CheckboxGroup(["Continue Search"], label="Image Control", type="index", elem_id="imageControl") green_btn = gr.Button(value="Search") with gr.Column(): zerochan_inputs = [searchQuery, num_pics, num_pages, n_likes, filters,imageControl] create_gallery_tab("Zerochan", zero_imgs, zerochan_inputs, zerochan_gallery, zerochan_gallery.send_number) # Yandex Tab with gr.TabItem("Yandex", id=4): with gr.Row(): with gr.Column(): searchQuery = gr.Textbox(label="Search Query", placeholder="Suggested to use the char's full name") with gr.Row(): num_pics = gr.Slider(1,10, value=2, step=int, label="Number of Pictures") with gr.Row(): with gr.Row(): filters = gr.CheckboxGroup(["AI Classifier","Search By Recent"], label="Filters", type="index",elem_id="zeroAIhover") with gr.Column(): imageOrientation = gr.Radio(["Landscape","Portrait","Square"], label="Image Orientation", type="index", elem_id="imageControl") green_btn = gr.Button(value="Search") yandex_inputs = [searchQuery, num_pics, filters,imageOrientation] create_gallery_tab("Yandex", yandex_imgs, yandex_inputs, yandex_gallery, yandex_gallery.send_number) demo.launch(demo.launch(server_name="0.0.0.0", server_port=7860))