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import gradio as gr
import pandas as pd
import json
import requests
from requests.adapters import HTTPAdapter
from urllib3.util import Retry
from pykakasi import kakasi
MODELS = ["Animagine 3.1", "NoobAI XL", "Illustrious"]
DEFAULT_DF = pd.DataFrame({"Character": ["oomuro sakurako (yuru yuri) (NoobAI XL)", "kafuu chino (gochuumon wa usagi desu ka?) (Animagine 3.1)"]})
DEFAULT_SERIES_DF = pd.DataFrame({"Series": ["yuru yuri", "gochuumon wa usagi desu ka?"]})
kks = kakasi()
def to_roman(s: str):
try:
return "".join([i.get("hepburn", "") for i in kks.convert(s)])
except Exception as e:
print(e)
return s
def get_user_agent():
return 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0'
def get_series_wiki_dict():
user_agent = get_user_agent()
headers = {'User-Agent': user_agent, 'content-type': 'application/json'}
base_url = 'https://www.animecharactersdatabase.com/api_series_characters.php?title_wiki_links'
params = {}
session = requests.Session()
retries = Retry(total=5, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
session.mount("https://", HTTPAdapter(max_retries=retries))
try:
r = session.get(base_url, params=params, headers=headers, stream=True, timeout=(5.0, 15))
if not r.ok: return {}
j = dict(r.json())
if "titles" not in j: return {}
return {str(i["anime_id"]): i["wikipedia_url"] for i in j["titles"]}
except Exception as e:
print(e)
return {}
series_wiki_dict = get_series_wiki_dict()
def find_char_info(query: str):
user_agent = get_user_agent()
headers = {'User-Agent': user_agent, 'content-type': 'application/json'}
base_url = 'https://www.animecharactersdatabase.com/api_series_characters.php'
params = {"character_q": query}
params2 = {"character_q": " ".join(list(reversed(query.split(" "))))}
session = requests.Session()
retries = Retry(total=5, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
session.mount("https://", HTTPAdapter(max_retries=retries))
try:
r = session.get(base_url, params=params, headers=headers, stream=True, timeout=(5.0, 15))
if not r.ok or r.json() == -1:
r = session.get(base_url, params=params2, headers=headers, stream=True, timeout=(5.0, 15))
if not r.ok or r.json() == -1: return None
j = dict(r.json())
if "search_results" not in j or len(j["search_results"]) == 0: return None
d = {}
i = j["search_results"][0]
d["name"] = i["name"]
d["series"] = i["anime_name"]
d["gender"] = i["gender"]
d["image"] = i["character_image"]
d["desc"] = i["desc"]
d["wiki"] = ""
aid = str(i["anime_id"])
if aid in series_wiki_dict.keys(): d["wiki"] = series_wiki_dict[aid]
return d
except Exception as e:
print(e)
return None
def find_series_info(query: str):
user_agent = get_user_agent()
headers = {'User-Agent': user_agent, 'content-type': 'application/json'}
base_url = 'https://www.animecharactersdatabase.com/api_series_characters.php'
params = {"anime_q": query}
session = requests.Session()
retries = Retry(total=5, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
session.mount("https://", HTTPAdapter(max_retries=retries))
try:
r = session.get(base_url, params=params, headers=headers, stream=True, timeout=(5.0, 15))
if not r.ok or r.json() == -1: return None
j = dict(r.json())
if "search_results" not in j or len(j["search_results"]) == 0: return None
d = {}
i = j["search_results"][0]
d["name"] = i["anime_name"]
d["id"] = i["anime_id"]
d["image"] = i["anime_image"]
d["wiki"] = ""
char_url = i["characters_url"]
aid = str(i["anime_id"])
if aid in series_wiki_dict.keys(): d["wiki"] = series_wiki_dict[aid]
d["chars"] = {}
r = session.get(char_url, headers=headers, stream=True, timeout=(5.0, 15))
if not r.ok or r.json() == -1: return d
j = dict(r.json())
if "characters" not in j: return d
for c in j["characters"]:
d["chars"][c["name"]] = c["character_image"]
return d
except Exception as e:
print(e)
return None
def load_json(filename: str):
try:
with open(filename, encoding="utf-8") as f:
d = json.load(f)
return dict(d)
except Exception as e:
print(e)
return {}
def load_char_dict():
d = {}
d["Animagine 3.1"] = load_json("data/animagine.json")
d["Illustrious"] = load_json("data/illustrious.json")
d["NoobAI XL"] = load_json("data/noob_danbooru.json") | load_json("data/noob_e621.json")
return d
def create_series_dict(char_dict: dict):
d = {}
for model, value in char_dict.items():
for name, v in value.items():
if not v["series"]: continue
d[v["series"]] = d[v["series"]] + [v["name"]] if v["series"] in d.keys() and isinstance(d[v["series"]], list) else [v["name"]]
for k in sorted(d.keys()):
d[k] = sorted(list(set(d[k])))
return d
def create_char_df(char_dict: dict):
d = {}
m = {}
tags = []
for model, value in char_dict.items():
for name, v in value.items():
tag = f'{v["name"]} ({v["series"]}) ({model})' if v["series"] else f'{v["name"]} ({model})'
tags.append(tag)
d[tag] = v.copy()
m[tag] = model
df = pd.DataFrame({"Character": tags})
return df, d, m
char_dict = load_char_dict()
series_dict = create_series_dict(char_dict)
series_list = list(sorted(series_dict.keys()))
char_df, tag_dict, model_dict = create_char_df(char_dict)
def search_series_dict(q: str, progress=gr.Progress(track_tqdm=True)):
try:
MAX_COLS = 20
if q.strip():
rq = to_roman(q).lower()
search_results = pd.DataFrame({"Series": [s for s in series_list if rq in s]})
else:
return DEFAULT_SERIES_DF
if len(search_results.columns) > MAX_COLS:
search_results = search_results.iloc[:, :MAX_COLS]
return search_results
except Exception as e:
print(e)
def on_select_series_df(df: pd.DataFrame, is_detail: bool, evt: gr.SelectData):
gallery = []
if is_detail: info = find_series_info(evt.value.split("(")[0].strip())
else: info = None
if info is not None:
md = f'## [{info["name"]}]({info["wiki"]})\n![{info["name"]}]({info["image"]}#center)'
for cap, image in info["chars"].items():
gallery.append((image, cap))
else: md = f'## {evt.value}'
return evt.value, md, gallery
def on_select_series_gallery(gallery: list, evt: gr.SelectData):
return " ".join(list(reversed(gallery[evt.index][1].lower().split(" "))))
def update_series_chars(series: str):
choices = list(series_dict.get(series, []))
return gr.update(choices=choices, value=choices[0] if len(choices) > 0 else "")
def apply_series(series: str, char: str):
q = char if char else ""
q = q + " (" + series + ")" if series else q
q = q.strip()
if not q: return gr.update()
else: return q
def search_char_dict(q: str, models: list[str], progress=gr.Progress(track_tqdm=True)):
try:
MAX_COLS = 50
if q.strip():
#search_results = df[df["Character"].str.contains(to_roman(q).lower(), regex=False, na=False) & df["Character"].str.contains("(?: \\(" + "\\))|(?: \\(".join(models) + "\\))", regex=True, na=False)]
l = char_df["Character"].tolist()
rq = to_roman(q).lower()
mt = tuple([f" ({s})" for s in models])
search_results = pd.DataFrame({"Character": [s for s in l if rq in s and s.endswith(mt)]})
else:
return DEFAULT_DF
if len(search_results.columns) > MAX_COLS:
search_results = search_results.iloc[:, :MAX_COLS]
return search_results
except Exception as e:
print(e)
def on_select_df(df: pd.DataFrame, is_detail: bool, evt: gr.SelectData):
d = tag_dict.get(evt.value, None)
if d is None: return "", "", "<br><br><br>"
#print(d) #
if is_detail: info = find_char_info(d["name"])
else: info = None
#print(info) #
if info is not None:
md = f'## [{info["name"]}]({info["wiki"]}) / [{info["series"]}]({info["wiki"]}) / {info["gender"]}\n![{info["name"]}]({info["image"]}#center)\n[{info["desc"]}]({info["wiki"]})'
else: md = f'## {d["name"]} / {d["series"]}' if d["series"] else f'## {d["name"]}'
md += f'\n<br>Tag is for {model_dict[evt.value]}.'
return d["tag"], model_dict[evt.value], md
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