Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -694,6 +694,78 @@ def get_spaces_data(sort_type="trending", progress=gr.Progress()):
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template='plotly_white',
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xaxis_tickangle=-45
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)
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def create_trend_visualization(spaces_data):
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template='plotly_white',
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xaxis_tickangle=-45
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)
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progress(0.6, desc="Creating space cards...")
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# HTML 旃措摐 靸濎劚
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html_content = f"""
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<div style='padding: 20px; background: #f5f5f5;'>
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<h2 style='color: #2c3e50;'>{sort_type.title()} Rankings</h2>
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<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>
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"""
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for space in spaces:
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space_id = space['id']
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rank = space['rank']
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title = space.get('cardData', {}).get('title') or space.get('title', 'No Title')
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likes = space.get('likes', 0)
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html_content += f"""
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<div style='
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background: white;
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padding: 20px;
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border-radius: 10px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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transition: transform 0.2s;
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'>
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<h3 style='color: #34495e;'>Rank #{rank} - {space_id}</h3>
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<h4 style='
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color: #2980b9;
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margin: 10px 0;
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font-size: 1.2em;
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font-weight: bold;
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text-shadow: 1px 1px 2px rgba(0,0,0,0.1);
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background: linear-gradient(to right, #3498db, #2980b9);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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padding: 5px 0;
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'>{title}</h4>
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<p style='color: #7f8c8d; margin-bottom: 10px;'>馃憤 Likes: {likes}</p>
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<a href='{target_spaces[space_id]}'
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target='_blank'
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style='
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display: inline-block;
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padding: 8px 16px;
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background: #3498db;
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color: white;
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text-decoration: none;
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border-radius: 5px;
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transition: background 0.3s;
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'>
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Visit Space 馃敆
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</a>
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</div>
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"""
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html_content += "</div></div>"
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# 雿办澊韯绊攧霠堨瀯 靸濎劚
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df = pd.DataFrame([{
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'Rank': space['rank'],
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'Space ID': space['id'],
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'Title': space.get('cardData', {}).get('title') or space.get('title', 'No Title'),
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'Likes': space.get('likes', 0),
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'URL': target_spaces[space['id']]
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} for space in spaces])
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progress(1.0, desc="Complete!")
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return fig, html_content, df
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except Exception as e:
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print(f"Error in get_spaces_data: {str(e)}")
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error_html = f'<div style="color: red; padding: 20px;">Error: {str(e)}</div>'
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error_plot = create_error_plot()
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return error_plot, error_html, pd.DataFrame()
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def create_trend_visualization(spaces_data):
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