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CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -5,6 +5,11 @@ import os
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from datetime import datetime, timedelta
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from huggingface_hub import InferenceClient
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MAX_COUNTRY_RESULTS = 100 # ๊ตญ๊ฐ๋ณ ์ต๋ ๊ฒฐ๊ณผ ์
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MAX_GLOBAL_RESULTS = 1000 # ์ ์ธ๊ณ ์ต๋ ๊ฒฐ๊ณผ ์
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@@ -311,6 +316,9 @@ def serphouse_search(query, country):
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return format_results_from_raw(response_data)
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# Hacker News API ๊ด๋ จ ํจ์๋ค ๋จผ์ ์ถ๊ฐ
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def get_hn_item(item_id):
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"""๊ฐ๋ณ ์์ดํ
์ ๋ณด ๊ฐ์ ธ์ค๊ธฐ"""
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@@ -351,33 +359,134 @@ def format_hn_time(timestamp):
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except:
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return "Unknown time"
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def refresh_hn_stories():
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"""Hacker News ์คํ ๋ฆฌ ์๋ก๊ณ ์นจ"""
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status_msg = "Hacker News ํฌ์คํธ๋ฅผ ๊ฐ์ ธ์ค๋ ์ค..."
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-
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outputs = [gr.update(value=status_msg, visible=True)]
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#
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for
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outputs.extend([
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gr.update(visible=False),
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gr.update(),
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gr.update()
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])
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# ์ต์ ์คํ ๋ฆฌ ๊ฐ์ ธ์ค๊ธฐ
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stories = get_recent_stories()
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#
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for idx, comp in enumerate(hn_article_components):
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if idx < len(
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story =
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outputs.extend([
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gr.update(visible=True),
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gr.update(value=f"### [{story.get('title', 'Untitled')}]({story.get('url', '#')})"),
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gr.update(value=f"
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])
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else:
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outputs.extend([
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@@ -386,8 +495,7 @@ def refresh_hn_stories():
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gr.update()
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])
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css = """
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footer {visibility: hidden;}
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@@ -515,23 +623,24 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, title="NewsAI ์๋น์ค") as
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'index': i,
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})
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# AI ๋ฆฌํฌํฐ ํญ
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with gr.Tab("AI ๋ฆฌํฌํฐ"):
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gr.Markdown("์ง๋ 24์๊ฐ ๋์์ Hacker News ํฌ์คํธ๋ฅผ ๋ณด์ฌ์ค๋๋ค.")
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with gr.Column():
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refresh_button = gr.Button("์๋ก๊ณ ์นจ", variant="primary")
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status_message_hn = gr.Markdown("")
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with gr.Column(elem_id="hn_results_area"):
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hn_articles_state = gr.State([])
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hn_article_components = []
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for i in range(100):
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with gr.Group(visible=False) as article_group:
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title = gr.Markdown()
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info = gr.Markdown()
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hn_article_components.append({
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'group': article_group,
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'title': title,
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@@ -541,9 +650,6 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, title="NewsAI ์๋น์ค") as
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# ๊ธฐ์กด ํจ์๋ค
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def search_and_display(query, country, articles_state, progress=gr.Progress()):
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from datetime import datetime, timedelta
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from huggingface_hub import InferenceClient
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from bs4 import BeautifulSoup
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import concurrent.futures
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import time
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import re
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MAX_COUNTRY_RESULTS = 100 # ๊ตญ๊ฐ๋ณ ์ต๋ ๊ฒฐ๊ณผ ์
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MAX_GLOBAL_RESULTS = 1000 # ์ ์ธ๊ณ ์ต๋ ๊ฒฐ๊ณผ ์
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return format_results_from_raw(response_data)
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# Hacker News API ๊ด๋ จ ํจ์๋ค ๋จผ์ ์ถ๊ฐ
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def get_hn_item(item_id):
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"""๊ฐ๋ณ ์์ดํ
์ ๋ณด ๊ฐ์ ธ์ค๊ธฐ"""
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except:
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return "Unknown time"
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def clean_text(text):
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"""HTML ํ๊ทธ ์ ๊ฑฐ ๋ฐ ํ
์คํธ ์ ๋ฆฌ"""
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text = re.sub(r'\s+', ' ', text)
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text = re.sub(r'<[^>]+>', '', text)
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return text.strip()
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def get_article_content(url):
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"""URL์์ ๊ธฐ์ฌ ๋ด์ฉ ์คํฌ๋ํ"""
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if not url or 'github.com' in url or 'twitter.com' in url:
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return None
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try:
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headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'}
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response = requests.get(url, headers=headers, timeout=10)
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soup = BeautifulSoup(response.text, 'html.parser')
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# ๋ถํ์ํ ์์ ์ ๊ฑฐ
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for tag in soup(['script', 'style', 'nav', 'footer', 'header']):
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tag.decompose()
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paragraphs = soup.find_all('p')
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text = ' '.join(p.get_text() for p in paragraphs)
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text = clean_text(text)
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return text[:4000] # ํ
์คํธ ๊ธธ์ด ์ ํ
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except Exception as e:
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print(f"Scraping error for {url}: {str(e)}")
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return None
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def generate_summary(text):
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"""CohereForAI ๋ชจ๋ธ์ ์ฌ์ฉํ ์์ฝ ์์ฑ"""
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if not text:
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return None
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prompt = """Please analyze and summarize the following text in 2-3 sentences.
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Focus on the main points and key information:
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Text: {text}
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Summary:"""
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try:
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response = hf_client.text_generation(
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prompt.format(text=text),
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max_new_tokens=150,
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temperature=0.7,
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repetition_penalty=1.2
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)
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return response
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except Exception as e:
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print(f"Summary generation error: {str(e)}")
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return None
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def process_hn_story(story, progress=None):
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"""๊ฐ๋ณ ์คํ ๋ฆฌ ์ฒ๋ฆฌ ๋ฐ ์์ฝ"""
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try:
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url = story.get('url')
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if not url:
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return story, None
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content = get_article_content(url)
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if not content:
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return story, None
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summary_en = generate_summary(content)
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if not summary_en:
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return story, None
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summary_ko = translate_to_korean(summary_en)
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return story, summary_ko
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except Exception as e:
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print(f"Story processing error: {str(e)}")
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return story, None
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def refresh_hn_stories():
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"""Hacker News ์คํ ๋ฆฌ ์๋ก๊ณ ์นจ (๊ฐ์ ๋ ๋ฒ์ )"""
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status_msg = "Hacker News ํฌ์คํธ๋ฅผ ๊ฐ์ ธ์ค๋ ์ค..."
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outputs = [gr.update(value=status_msg, visible=True)]
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# ์ปดํฌ๋ํธ ์ด๊ธฐํ
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for comp in hn_article_components:
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outputs.extend([
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gr.update(visible=False),
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gr.update(),
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gr.update()
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])
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yield outputs
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# ์ต์ ์คํ ๋ฆฌ ๊ฐ์ ธ์ค๊ธฐ
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stories = get_recent_stories()
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# ๋ณ๋ ฌ ์ฒ๋ฆฌ๋ก ์์ฝ ์์ฑ
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processed_stories = []
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with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
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future_to_story = {executor.submit(process_hn_story, story): story
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for story in stories[:20]} # ์์ 20๊ฐ๋ง ์ฒ๋ฆฌ
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for future in concurrent.futures.as_completed(future_to_story):
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story, summary = future.result()
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if summary:
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processed_stories.append((story, summary))
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# ๊ฒฐ๊ณผ ์ ๋ ฌ ๋ฐ ์ถ๋ ฅ
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processed_stories.sort(key=lambda x: x[0].get('time', 0), reverse=True)
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outputs = [gr.update(value=f"์ด {len(processed_stories)}๊ฐ์ ํฌ์คํธ๊ฐ ์ฒ๋ฆฌ๋์์ต๋๋ค.", visible=True)]
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for idx, comp in enumerate(hn_article_components):
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if idx < len(processed_stories):
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story, summary = processed_stories[idx]
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outputs.extend([
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gr.update(visible=True),
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gr.update(value=f"### [{story.get('title', 'Untitled')}]({story.get('url', '#')})"),
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gr.update(value=f"""
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**์์ฑ์:** {story.get('by', 'unknown')} |
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**์๊ฐ:** {format_hn_time(story.get('time', 0))} |
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**์ ์:** {story.get('score', 0)} |
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**๋๊ธ:** {len(story.get('kids', []))}๊ฐ\n
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**AI ์์ฝ:** {summary}
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""")
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])
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else:
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outputs.extend([
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gr.update()
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])
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yield outputs
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css = """
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footer {visibility: hidden;}
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'index': i,
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})
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# AI ๋ฆฌํฌํฐ ํญ
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with gr.Tab("AI ๋ฆฌํฌํฐ"):
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gr.Markdown("์ง๋ 24์๊ฐ ๋์์ Hacker News ํฌ์คํธ๋ฅผ AI๊ฐ ์์ฝํ์ฌ ๋ณด์ฌ์ค๋๋ค.")
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with gr.Column():
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refresh_button = gr.Button("์๋ก๊ณ ์นจ", variant="primary")
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status_message_hn = gr.Markdown("")
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with gr.Column(elem_id="hn_results_area"):
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hn_articles_state = gr.State([])
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hn_article_components = []
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for i in range(100): # ์์ 20๊ฐ ํฌ์คํธ๋ง ์ฒ๋ฆฌ
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with gr.Group(visible=False) as article_group:
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title = gr.Markdown()
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info = gr.Markdown()
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hn_article_components.append({
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'group': article_group,
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'title': title,
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# ๊ธฐ์กด ํจ์๋ค
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def search_and_display(query, country, articles_state, progress=gr.Progress()):
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