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import os
import random
import base64
import requests
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common.exceptions import WebDriverException, TimeoutException
from PIL import Image
from io import BytesIO
from datetime import datetime
import gradio as gr
from typing import Tuple
import time
from pathlib import Path # ์ถ๊ฐ
# ์คํฌ๋ฆฐ์ท ์บ์ ๋๋ ํ ๋ฆฌ ์ค์
CACHE_DIR = Path("screenshot_cache")
CACHE_DIR.mkdir(exist_ok=True)
# ์ ์ญ ๋ณ์๋ก ์คํฌ๋ฆฐ์ท ์บ์ ์ ์ธ
SCREENSHOT_CACHE = {}
def get_cached_screenshot(url: str) -> str:
"""์บ์๋ ์คํฌ๋ฆฐ์ท ๊ฐ์ ธ์ค๊ธฐ ๋๋ ์๋ก ์์ฑ"""
cache_file = CACHE_DIR / f"{base64.b64encode(url.encode()).decode()}.png"
if cache_file.exists():
with open(cache_file, "rb") as f:
return base64.b64encode(f.read()).decode()
return take_screenshot(url)
def take_screenshot(url):
"""์น์ฌ์ดํธ ์คํฌ๋ฆฐ์ท ์ดฌ์ ํจ์ (๋ก๋ฉ ๋๊ธฐ ์๊ฐ ์ถ๊ฐ)"""
if url in SCREENSHOT_CACHE:
return SCREENSHOT_CACHE[url]
if not url.startswith('http'):
url = f"https://{url}"
options = webdriver.ChromeOptions()
options.add_argument('--headless')
options.add_argument('--no-sandbox')
options.add_argument('--disable-dev-shm-usage')
options.add_argument('--window-size=1080,720')
try:
driver = webdriver.Chrome(options=options)
driver.get(url)
# ๋ช
์์ ๋๊ธฐ: body ์์๊ฐ ๋ก๋๋ ๋๊น์ง ๋๊ธฐ (์ต๋ 10์ด)
try:
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.TAG_NAME, "body"))
)
except TimeoutException:
print(f"ํ์ด์ง ๋ก๋ฉ ํ์์์: {url}")
# ์ถ๊ฐ ๋๊ธฐ ์๊ฐ์ 2์ด๋ก ์ฆ๊ฐ
time.sleep(2) # 1์ด์์ 2์ด๋ก ๋ณ๊ฒฝ
# JavaScript ์คํ ์๋ฃ ๋๊ธฐ
driver.execute_script("return document.readyState") == "complete"
# ์คํฌ๋ฆฐ์ท ์ดฌ์
screenshot = driver.get_screenshot_as_png()
img = Image.open(BytesIO(screenshot))
buffered = BytesIO()
img.save(buffered, format="PNG")
base64_image = base64.b64encode(buffered.getvalue()).decode()
# ์บ์์ ์ ์ฅ
SCREENSHOT_CACHE[url] = base64_image
return base64_image
except WebDriverException as e:
print(f"์คํฌ๋ฆฐ์ท ์ดฌ์ ์คํจ: {str(e)} for URL: {url}")
return None
except Exception as e:
print(f"์์์น ๋ชปํ ์ค๋ฅ: {str(e)} for URL: {url}")
return None
finally:
if 'driver' in locals():
driver.quit()
from datetime import datetime, timedelta
def calculate_rising_rate(created_date: str, rank: int) -> int:
"""AI Rising Rate ๊ณ์ฐ"""
# ์์ฑ์ผ ๊ธฐ์ค ์ ์ ๊ณ์ฐ
created = datetime.strptime(created_date.split('T')[0], '%Y-%m-%d')
today = datetime.now()
days_diff = (today - created).days
date_score = max(0, 300 - days_diff) # ์ต๋ 300์
# ์์ ๊ธฐ์ค ์ ์ ๊ณ์ฐ
rank_score = max(0, 300 - rank) # ์ต๋ 300์
# ์ด์ ๊ณ์ฐ
total_score = date_score + rank_score
# ๋ณ ๊ฐ์ ๊ณ์ฐ (0~5)
if total_score <= 100:
stars = 1
elif total_score <= 200:
stars = 2
elif total_score <= 300:
stars = 3
elif total_score <= 400:
stars = 4
else:
stars = 5
return stars
def get_popularity_grade(likes: int, stars: int) -> tuple:
"""AI Popularity Score ๋ฑ๊ธ ๊ณ์ฐ"""
# ๊ธฐ๋ณธ ์ ์ (likes)
base_score = min(likes, 10000) # ์ต๋ 10000์
# ๋ณ์ ์ถ๊ฐ ์ ์ (๋ณ ํ๋๋น 500์ )
star_score = stars * 500
# ์ด์
total_score = base_score + star_score
# ๋ฑ๊ธ ํ
์ด๋ธ (18๋จ๊ณ)
grades = [
(9000, "AAA+"), (8500, "AAA"), (8000, "AAA-"),
(7500, "AA+"), (7000, "AA"), (6500, "AA-"),
(6000, "A+"), (5500, "A"), (5000, "A-"),
(4500, "BBB+"), (4000, "BBB"), (3500, "BBB-"),
(3000, "BB+"), (2500, "BB"), (2000, "BB-"),
(1500, "B+"), (1000, "B"), (500, "B-")
]
for threshold, grade in grades:
if total_score >= threshold:
return grade, total_score
return "B-", total_score
# get_card ํจ์ ๋ด์ hardware_info ๋ถ๋ถ์ ๋ค์์ผ๋ก ๊ต์ฒด:
def get_rating_info(item: dict, index: int) -> str:
"""ํ๊ฐ ์ ๋ณด HTML ์์ฑ"""
created = item.get('createdAt', '').split('T')[0]
likes = int(str(item.get('likes', '0')).replace(',', ''))
# AI Rising Rate ๊ณ์ฐ
stars = calculate_rising_rate(created, index + 1)
star_html = "โ
" * stars + "โ" * (5 - stars) # ์ฑ์์ง ๋ณ๊ณผ ๋น ๋ณ ์กฐํฉ
# AI Popularity Score ๊ณ์ฐ
grade, score = get_popularity_grade(likes, stars)
# ๋ฑ๊ธ๋ณ ์์ ์ค์
grade_colors = {
'AAA': '#FFD700', 'AA': '#FFA500', 'A': '#FF4500',
'BBB': '#4169E1', 'BB': '#1E90FF', 'B': '#00BFFF'
}
grade_base = grade.rstrip('+-')
grade_color = grade_colors.get(grade_base, '#666666')
return f"""
<div style='
margin-top: 15px;
padding: 15px;
background: rgba(255,255,255,0.4);
border-radius: 10px;
font-size: 0.9em;
box-shadow: 0 2px 10px rgba(0,0,0,0.1);'>
<div style='
display: grid;
grid-template-columns: repeat(2, 1fr);
gap: 15px;'>
<div style='
color: #333;
display: flex;
flex-direction: column;
gap: 5px;'>
<span style='font-weight: bold;'>AI Rising Rate:</span>
<span style='
color: #FF8C00;
font-size: 1.4em;
letter-spacing: 2px;
text-shadow: 1px 1px 2px rgba(0,0,0,0.1);'>{star_html}</span>
</div>
<div style='
color: #333;
display: flex;
flex-direction: column;
gap: 5px;'>
<span style='font-weight: bold;'>AI Popularity Score:</span>
<span style='
font-size: 1.2em;
font-weight: bold;
color: {grade_color};
text-shadow: 1px 1px 2px rgba(0,0,0,0.1);'>{grade} ({score:,})</span>
</div>
</div>
</div>
"""
def get_hardware_info(item: dict) -> tuple:
"""ํ๋์จ์ด ์ ๋ณด ์ถ์ถ"""
try:
# runtime ์ ๋ณด ํ์ธ
runtime = item.get('runtime', {})
# CPU ์ ๋ณด ์ฒ๋ฆฌ
cpu_info = runtime.get('cpu', 'Standard')
# GPU ์ ๋ณด ์ฒ๋ฆฌ
gpu_info = "None"
if runtime.get('accelerator') == "gpu":
gpu_type = runtime.get('gpu', {}).get('name', '')
gpu_memory = runtime.get('gpu', {}).get('memory', '')
if gpu_type:
gpu_info = f"{gpu_type}"
if gpu_memory:
gpu_info += f" ({gpu_memory}GB)"
# spaces decorator ํ์ธ
if '@spaces.GPU' in str(item.get('sdk_version', '')):
if gpu_info == "None":
gpu_info = "GPU Enabled"
# SDK ์ ๋ณด ์ฒ๋ฆฌ
sdk = item.get('sdk', 'N/A')
print(f"Debug - Runtime Info: {runtime}") # ๋๋ฒ๊ทธ ์ถ๋ ฅ
print(f"Debug - GPU Info: {gpu_info}") # ๋๋ฒ๊ทธ ์ถ๋ ฅ
return cpu_info, gpu_info, sdk
except Exception as e:
print(f"Error parsing hardware info: {str(e)}")
return 'Standard', 'None', 'N/A'
def get_card(item: dict, index: int, card_type: str = "space") -> str:
"""ํตํฉ ์นด๋ HTML ์์ฑ"""
item_id = item.get('id', '')
author, title = item_id.split('/', 1)
likes = format(item.get('likes', 0), ',')
created = item.get('createdAt', '').split('T')[0]
# short_description ๊ฐ์ ธ์ค๊ธฐ
short_description = item.get('cardData', {}).get('short_description', '')
# title๊ณผ short_description์ ํฌํจํ ํค๋ HTML
title_html = f"""
<h3 style='
margin: 0 0 15px 0;
color: #333;
font-size: 1.3em;
line-height: 1.4;
display: -webkit-box;
-webkit-line-clamp: 2;
-webkit-box-orient: vertical;
overflow: hidden;
text-overflow: ellipsis;
text-shadow: 1px 1px 1px rgba(255,255,255,0.8);'>
{title}
{f'<span style="display: block; font-size: 0.7em; color: #666; margin-top: 5px; font-weight: normal; font-style: italic;">{short_description}</span>' if short_description else ''}
</h3>
"""
# URL ์ ์
if card_type == "space":
url = f"https://huggingface.co/spaces/{item_id}"
elif card_type == "model":
url = f"https://huggingface.co/{item_id}"
else: # dataset
url = f"https://huggingface.co/datasets/{item_id}"
# ๋ฉํ๋ฐ์ดํฐ ์ฒ๋ฆฌ
tags = item.get('tags', [])
pipeline_tag = item.get('pipeline_tag', '')
license = item.get('license', '')
sdk = item.get('sdk', 'N/A')
# AI Rating ์ ๋ณด ๊ฐ์ ธ์ค๊ธฐ
rating_info = get_rating_info(item, index)
# ์นด๋ ํ์
๋ณ ๊ทธ๋ผ๋ฐ์ด์
์ค์
if card_type == "space":
gradient_colors = """
rgba(255, 182, 193, 0.7), /* ํ์คํ
ํํฌ */
rgba(173, 216, 230, 0.7), /* ํ์คํ
๋ธ๋ฃจ */
rgba(255, 218, 185, 0.7) /* ํ์คํ
ํผ์น */
"""
bg_content = f"""
background-image: url(data:image/png;base64,{get_cached_screenshot(url) if get_cached_screenshot(url) else ''});
background-size: cover;
background-position: center;
"""
type_icon = "๐ฏ"
type_label = "SPACE"
elif card_type == "model":
gradient_colors = """
rgba(110, 142, 251, 0.7), /* ๋ชจ๋ธ ๋ธ๋ฃจ */
rgba(130, 158, 251, 0.7),
rgba(150, 174, 251, 0.7)
"""
bg_content = f"""
background: linear-gradient(135deg, #6e8efb, #4a6cf7);
padding: 15px;
"""
type_icon = "๐ค"
type_label = "MODEL"
else: # dataset
gradient_colors = """
rgba(255, 107, 107, 0.7), /* ๋ฐ์ดํฐ์
๋ ๋ */
rgba(255, 127, 127, 0.7),
rgba(255, 147, 147, 0.7)
"""
bg_content = f"""
background: linear-gradient(135deg, #ff6b6b, #ff8787);
padding: 15px;
"""
type_icon = "๐"
type_label = "DATASET"
content_bg = f"""
background: linear-gradient(135deg, {gradient_colors});
backdrop-filter: blur(10px);
"""
# ํ๊ทธ ํ์ (models์ datasets์ฉ)
tags_html = ""
if card_type != "space":
tags_html = f"""
<div style='
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
display: flex;
flex-wrap: wrap;
gap: 5px;
justify-content: center;
width: 90%;'>
{' '.join([f'''
<span style='
background: rgba(255,255,255,0.2);
padding: 5px 10px;
border-radius: 15px;
color: white;
font-size: 0.8em;'>
#{tag}
</span>
''' for tag in tags[:5]])}
</div>
"""
# ์นด๋ HTML ๋ฐํ
return f"""
<div class="card" style='
position: relative;
border: none;
padding: 0;
margin: 10px;
border-radius: 20px;
box-shadow: 0 10px 20px rgba(0,0,0,0.1);
background: white;
transition: all 0.3s ease;
overflow: hidden;
min-height: 400px;
cursor: pointer;
transform-origin: center;'
onmouseover="this.style.transform='scale(0.98) translateY(5px)'; this.style.boxShadow='0 5px 15px rgba(0,0,0,0.2)';"
onmouseout="this.style.transform='scale(1) translateY(0)'; this.style.boxShadow='0 10px 20px rgba(0,0,0,0.1)';"
onclick="window.open('{url}', '_blank')">
<!-- ์๋จ ์์ญ -->
<div style='
width: 100%;
height: 200px;
{bg_content}
position: relative;'>
<!-- ์์ ๋ฑ์ง -->
<div style='
position: absolute;
top: 10px;
left: 10px;
background: rgba(0,0,0,0.7);
color: white;
padding: 5px 15px;
border-radius: 20px;
font-weight: bold;
font-size: 0.9em;
backdrop-filter: blur(5px);'>
#{index + 1}
</div>
<!-- ํ์
๋ฑ์ง -->
<div style='
position: absolute;
top: 10px;
right: 10px;
background: rgba(255,255,255,0.9);
padding: 5px 15px;
border-radius: 20px;
font-weight: bold;
font-size: 0.8em;'>
{type_icon} {type_label}
</div>
{tags_html}
</div>
<!-- ์ฝํ
์ธ ์์ญ -->
<div style='
padding: 20px;
{content_bg}
border-radius: 0 0 20px 20px;
border-top: 1px solid rgba(255,255,255,0.5);'>
<h3 style='
margin: 0 0 15px 0;
color: #333;
font-size: 1.3em;
line-height: 1.4;
display: -webkit-box;
-webkit-line-clamp: 2;
-webkit-box-orient: vertical;
overflow: hidden;
text-overflow: ellipsis;
text-shadow: 1px 1px 1px rgba(255,255,255,0.8);'>
{title}
</h3>
<div style='
display: grid;
grid-template-columns: repeat(2, 1fr);
gap: 10px;
font-size: 0.9em;
background: rgba(255,255,255,0.3);
padding: 10px;
border-radius: 10px;'>
<div style='color: #444;'>
<span style='margin-right: 5px;'>๐ค</span> {author}
</div>
<div style='color: #444;'>
<span style='margin-right: 5px;'>โค๏ธ</span> {likes}
</div>
<div style='color: #444; grid-column: span 2;'>
<span style='margin-right: 5px;'>๐
</span> {created}
</div>
</div>
{rating_info}
</div>
</div>
"""
def get_trending_spaces(search_query="", sort_by="rank", progress=gr.Progress()) -> Tuple[str, str]:
"""ํธ๋ ๋ฉ ์คํ์ด์ค ๊ฐ์ ธ์ค๊ธฐ"""
url = "https://huggingface.co/api/spaces"
try:
progress(0, desc="Fetching spaces data...")
params = {
'full': 'true',
'limit': 100
}
response = requests.get(url, params=params)
response.raise_for_status()
spaces = response.json()
# ๊ฒ์์ด๋ก ํํฐ๋ง
if search_query:
spaces = [space for space in spaces if search_query.lower() in
(space.get('id', '') + ' ' + space.get('title', '')).lower()]
# ์ ๋ ฌ
sort_by = sort_by.lower()
if sort_by == "rising_rate":
spaces.sort(key=lambda x: calculate_rising_rate(x.get('createdAt', ''), 0), reverse=True)
elif sort_by == "popularity":
spaces.sort(key=lambda x: get_popularity_grade(
int(str(x.get('likes', '0')).replace(',', '')),
calculate_rising_rate(x.get('createdAt', ''), 0))[1],
reverse=True)
progress(0.1, desc="Creating gallery...")
html_content = """
<div style='padding: 20px; background: #f5f5f5;'>
<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>
"""
for idx, space in enumerate(spaces):
html_content += get_card(space, idx, "space")
progress((0.1 + 0.9 * idx/len(spaces)), desc=f"Loading space {idx+1}/{len(spaces)}...")
html_content += "</div></div>"
progress(1.0, desc="Complete!")
return html_content, f"Found {len(spaces)} spaces"
except Exception as e:
error_html = f'<div style="color: red; padding: 20px;">Error: {str(e)}</div>'
return error_html, f"Error: {str(e)}"
def get_models(search_query="", sort_by="rank", progress=gr.Progress()) -> Tuple[str, str]:
"""์ธ๊ธฐ ๋ชจ๋ธ ๊ฐ์ ธ์ค๊ธฐ"""
url = "https://huggingface.co/api/models"
try:
progress(0, desc="Fetching models data...")
params = {
'full': 'true',
'limit': 300
}
response = requests.get(url, params=params)
response.raise_for_status()
models = response.json()
# ๊ฒ์์ด๋ก ํํฐ๋ง
if search_query:
models = [model for model in models if search_query.lower() in
(model.get('id', '') + ' ' + model.get('title', '')).lower()]
# ์ ๋ ฌ
sort_by = sort_by.lower()
if sort_by == "rising_rate":
models.sort(key=lambda x: calculate_rising_rate(x.get('createdAt', ''), 0), reverse=True)
elif sort_by == "popularity":
models.sort(key=lambda x: get_popularity_grade(
int(str(x.get('likes', '0')).replace(',', '')),
calculate_rising_rate(x.get('createdAt', ''), 0))[1],
reverse=True)
progress(0.1, desc="Creating gallery...")
html_content = """
<div style='padding: 20px; background: #f5f5f5;'>
<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>
"""
for idx, model in enumerate(models):
html_content += get_card(model, idx, "model")
progress((0.1 + 0.9 * idx/len(models)), desc=f"Loading model {idx+1}/{len(models)}...")
html_content += "</div></div>"
progress(1.0, desc="Complete!")
return html_content, f"Found {len(models)} models"
except Exception as e:
error_html = f'<div style="color: red; padding: 20px;">Error: {str(e)}</div>'
return error_html, f"Error: {str(e)}"
def get_datasets(search_query="", sort_by="rank", progress=gr.Progress()) -> Tuple[str, str]:
"""์ธ๊ธฐ ๋ฐ์ดํฐ์
๊ฐ์ ธ์ค๊ธฐ"""
url = "https://huggingface.co/api/datasets"
try:
progress(0, desc="Fetching datasets data...")
params = {
'full': 'true',
'limit': 300
}
response = requests.get(url, params=params)
response.raise_for_status()
datasets = response.json()
# ๊ฒ์์ด๋ก ํํฐ๋ง
if search_query:
datasets = [dataset for dataset in datasets if search_query.lower() in
(dataset.get('id', '') + ' ' + dataset.get('title', '')).lower()]
# ์ ๋ ฌ
sort_by = sort_by.lower()
if sort_by == "rising_rate":
datasets.sort(key=lambda x: calculate_rising_rate(x.get('createdAt', ''), 0), reverse=True)
elif sort_by == "popularity":
datasets.sort(key=lambda x: get_popularity_grade(
int(str(x.get('likes', '0')).replace(',', '')),
calculate_rising_rate(x.get('createdAt', ''), 0))[1],
reverse=True)
progress(0.1, desc="Creating gallery...")
html_content = """
<div style='padding: 20px; background: #f5f5f5;'>
<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>
"""
for idx, dataset in enumerate(datasets):
html_content += get_card(dataset, idx, "dataset")
progress((0.1 + 0.9 * idx/len(datasets)), desc=f"Loading dataset {idx+1}/{len(datasets)}...")
html_content += "</div></div>"
progress(1.0, desc="Complete!")
return html_content, f"Found {len(datasets)} datasets"
except Exception as e:
error_html = f'<div style="color: red; padding: 20px;">Error: {str(e)}</div>'
return error_html, f"Error: {str(e)}"
# ์ ๋ ฌ ํจ์ ์ถ๊ฐ
def sort_items(items, sort_by):
if sort_by == "rank":
return items # ์ด๋ฏธ ์์๋๋ก ์ ๋ ฌ๋์ด ์์
elif sort_by == "rising_rate":
return sorted(items, key=lambda x: calculate_rising_rate(x.get('createdAt', ''), 0), reverse=True)
elif sort_by == "popularity":
return sorted(items, key=lambda x: get_popularity_grade(int(str(x.get('likes', '0')).replace(',', '')),
calculate_rising_rate(x.get('createdAt', ''), 0))[1], reverse=True)
return items
# API ํธ์ถ ํจ์ ์์
def fetch_items(item_type, search_query="", sort_by="rank", limit=1000):
"""์์ดํ
๊ฐ์ ธ์ค๊ธฐ (spaces/models/datasets)"""
base_url = f"https://huggingface.co/api/{item_type}"
params = {
'full': 'true',
'limit': limit,
'search': search_query
}
try:
response = requests.get(base_url, params=params)
response.raise_for_status()
items = response.json()
# ๊ฒ์์ด๋ก ํํฐ๋ง
if search_query:
items = [item for item in items if search_query.lower() in
(item.get('id', '') + item.get('title', '')).lower()]
# ์ ๋ ฌ
items = sort_items(items, sort_by)
return items[:300] # ์์ 300๊ฐ๋ง ๋ฐํ
except Exception as e:
print(f"Error fetching items: {e}")
return []
def create_interface():
with gr.Blocks(title="HuggingFace Trending Board", css="""
.search-sort-container {
background: linear-gradient(135deg, rgba(255,255,255,0.95), rgba(240,240,255,0.95));
border-radius: 15px;
padding: 20px;
margin: 10px 0;
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
overflow: visible;
}
.search-box {
border: 2px solid #e1e1e1;
border-radius: 10px;
padding: 12px;
transition: all 0.3s ease;
background: linear-gradient(135deg, #ffffff, #f8f9ff);
width: 100%;
}
.search-box:focus {
border-color: #7b61ff;
box-shadow: 0 0 0 2px rgba(123,97,255,0.2);
background: linear-gradient(135deg, #ffffff, #f0f3ff);
}
.refresh-btn {
background: linear-gradient(135deg, #7b61ff, #6366f1);
color: white;
border: none;
padding: 10px 20px;
border-radius: 10px;
cursor: pointer;
transition: all 0.3s ease;
width: 120px;
height: 80px !important;
display: flex;
align-items: center;
justify-content: center;
margin-left: auto;
font-size: 1.2em !important;
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
}
.refresh-btn:hover {
transform: translateY(-2px);
box-shadow: 0 6px 12px rgba(0,0,0,0.2);
background: linear-gradient(135deg, #8b71ff, #7376f1);
}
""") as interface:
gr.Markdown("""
# ๐ค HuggingFace Trending TOP 300 Board
<div style='margin-bottom: 20px; padding: 10px; background: linear-gradient(135deg, rgba(123,97,255,0.1), rgba(99,102,241,0.1)); border-radius: 10px;'>
Explore, search, and sort through the Shows Top 300 Trending spaces with AI Ratings
</div>
""")
with gr.Tabs() as tabs:
# Spaces ํญ
with gr.Tab("๐ฏ Trending Spaces"):
with gr.Row(elem_classes="search-sort-container"):
with gr.Column(scale=2):
spaces_search = gr.Textbox(
label="๐ Search Spaces",
placeholder="Enter keywords to search...",
elem_classes="search-box"
)
with gr.Column(scale=2):
spaces_sort = gr.Radio(
choices=["rank", "rising_rate", "popularity"],
value="rank",
label="Sort by",
interactive=True
)
with gr.Column(scale=1):
spaces_refresh_btn = gr.Button(
"๐ Refresh",
variant="primary",
elem_classes="refresh-btn"
)
spaces_gallery = gr.HTML()
spaces_status = gr.Markdown("Loading...")
# Models ํญ
with gr.Tab("๐ค Trending Models"):
with gr.Row(elem_classes="search-sort-container"):
with gr.Column(scale=2):
models_search = gr.Textbox(
label="๐ Search Models",
placeholder="Enter keywords to search...",
elem_classes="search-box"
)
with gr.Column(scale=2):
models_sort = gr.Radio(
choices=["rank", "rising_rate", "popularity"],
value="rank",
label="Sort by",
interactive=True
)
with gr.Column(scale=1):
models_refresh_btn = gr.Button(
"๐ Refresh",
variant="primary",
elem_classes="refresh-btn"
)
models_gallery = gr.HTML()
models_status = gr.Markdown("Loading...")
# Datasets ํญ
with gr.Tab("๐ Trending Datasets"):
with gr.Row(elem_classes="search-sort-container"):
with gr.Column(scale=2):
datasets_search = gr.Textbox(
label="๐ Search Datasets",
placeholder="Enter keywords to search...",
elem_classes="search-box"
)
with gr.Column(scale=2):
datasets_sort = gr.Radio(
choices=["rank", "rising_rate", "popularity"],
value="rank",
label="Sort by",
interactive=True
)
with gr.Column(scale=1):
datasets_refresh_btn = gr.Button(
"๐ Refresh",
variant="primary",
elem_classes="refresh-btn"
)
datasets_gallery = gr.HTML()
datasets_status = gr.Markdown("Loading...")
# Event handlers
spaces_refresh_btn.click(
fn=get_trending_spaces,
inputs=[spaces_search, spaces_sort],
outputs=[spaces_gallery, spaces_status]
)
models_refresh_btn.click(
fn=get_models,
inputs=[models_search, models_sort],
outputs=[models_gallery, models_status]
)
datasets_refresh_btn.click(
fn=get_datasets,
inputs=[datasets_search, datasets_sort],
outputs=[datasets_gallery, datasets_status]
)
# ๊ฒ์์ด ๋ณ๊ฒฝ ์ ์๋ ์๋ก๊ณ ์นจ
spaces_search.change(
fn=get_trending_spaces,
inputs=[spaces_search, spaces_sort],
outputs=[spaces_gallery, spaces_status]
)
models_search.change(
fn=get_models,
inputs=[models_search, models_sort],
outputs=[models_gallery, models_status]
)
datasets_search.change(
fn=get_datasets,
inputs=[datasets_search, datasets_sort],
outputs=[datasets_gallery, datasets_status]
)
# ์ ๋ ฌ ๋ฐฉ์ ๋ณ๊ฒฝ ์ ์๋ ์๋ก๊ณ ์นจ
spaces_sort.change(
fn=get_trending_spaces,
inputs=[spaces_search, spaces_sort],
outputs=[spaces_gallery, spaces_status]
)
models_sort.change(
fn=get_models,
inputs=[models_search, models_sort],
outputs=[models_gallery, models_status]
)
datasets_sort.change(
fn=get_datasets,
inputs=[datasets_search, datasets_sort],
outputs=[datasets_gallery, datasets_status]
)
# ์ด๊ธฐ ๋ฐ์ดํฐ ๋ก๋
interface.load(
fn=get_trending_spaces,
inputs=[spaces_search, spaces_sort],
outputs=[spaces_gallery, spaces_status]
)
interface.load(
fn=get_models,
inputs=[models_search, models_sort],
outputs=[models_gallery, models_status]
)
interface.load(
fn=get_datasets,
inputs=[datasets_search, datasets_sort],
outputs=[datasets_gallery, datasets_status]
)
return interface
if __name__ == "__main__":
try:
demo = create_interface()
demo.launch(
share=True,
inbrowser=True,
show_api=False
)
except Exception as e:
print(f"Error launching app: {e}") |