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Create app.py
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app.py
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import streamlit as st
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import base64
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from datetime import datetime
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import plotly.graph_objects as go
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# Page config
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st.set_page_config(
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page_title="Bike Cinematic Imagery Generator π¬",
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page_icon="π²",
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layout="wide"
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)
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# Custom CSS
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st.markdown("""
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<style>
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.main {
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background: linear-gradient(to right, #1a1a1a, #2d2d2d);
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color: #ffffff;
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}
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.stMarkdown {
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font-family: 'Helvetica Neue', sans-serif;
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}
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.category-header {
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background: linear-gradient(45deg, #2b5876, #4e4376);
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padding: 20px;
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border-radius: 10px;
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margin: 10px 0;
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}
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.scene-card {
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background: rgba(0,0,0,0.3);
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padding: 15px;
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border-radius: 8px;
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margin: 10px 0;
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border: 1px solid rgba(255,255,255,0.1);
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}
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</style>
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""", unsafe_allow_html=True)
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# Title and Intro
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st.markdown("""
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# π₯ Cinematic Bike Imagery Generator
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## Dynamic Scene Creation for Epic Bike Photography
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""")
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# Create tabs for different sections
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tabs = st.tabs(["π¬ Scene Generator", "π Analytics", "π¨ Style Guide"])
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with tabs[0]:
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st.markdown("""
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### π Celestial Collection
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""")
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celestial_scenes = {
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"Eclipse Vaulter": {
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"prompt": """Cinematic shot of a sleek black mountain bike silhouetted against a total solar eclipse.
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The corona creates a ethereal halo effect, with lens flares accentuating key points of the frame.
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Dynamic composition shows the bike mid-leap, with stardust particles trailing behind.
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Camera angle: Low angle, wide shot
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Lighting: Dramatic rim lighting from eclipse
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Color palette: Deep purples, cosmic blues, corona gold
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Special effects: Lens flares, particle systems
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Mood: Epic, celestial, transcendent""",
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"emoji": "π"
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},
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# Add more scenes...
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}
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for name, details in celestial_scenes.items():
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with st.expander(f"{details['emoji']} {name}"):
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st.markdown(f"""
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<div class='scene-card'>
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<h4>{name}</h4>
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<p>{details['prompt']}</p>
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</div>
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""", unsafe_allow_html=True)
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# Add SVG visualization
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st.markdown("""
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<div style='text-align: center'>
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<svg width="400" height="300" viewBox="0 0 400 300">
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<defs>
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<linearGradient id="skyGradient" x1="0%" y1="0%" x2="0%" y2="100%">
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<stop offset="0%" style="stop-color:#0d1b2a;stop-opacity:1" />
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<stop offset="100%" style="stop-color:#415a77;stop-opacity:1" />
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</linearGradient>
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</defs>
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<rect width="400" height="300" fill="url(#skyGradient)"/>
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<circle cx="200" cy="150" r="40" fill="#ffffff" opacity="0.8"/>
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<path d="M 150 200 Q 200 100 250 200" stroke="#ffffff" fill="none" stroke-width="2"/>
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<path d="M 180 180 L 220 180" stroke="#000000" stroke-width="4"/>
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</svg>
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</div>
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""", unsafe_allow_html=True)
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# Add dynamic metrics
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col1, col2, col3 = st.columns(3)
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with col1:
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st.metric("Generated Scenes", "20", "+5")
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with col2:
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st.metric("Quality Score", "9.8/10", "+0.3")
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with col3:
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st.metric("Render Time", "2.3s", "-0.5s")
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# Scene Analyzer
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st.markdown("### π Scene Analysis")
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fig = go.Figure(data=[go.Scatterpolar(
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r=[9, 8, 10, 7, 9],
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theta=['Composition', 'Lighting', 'Drama', 'Technical', 'Narrative'],
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fill='toself'
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)])
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fig.update_layout(
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polar=dict(
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radialaxis=dict(visible=True, range=[0, 10])
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),
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showlegend=False
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)
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st.plotly_chart(fig)
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# Self Evaluation
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st.sidebar.markdown("""
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### π― Self Evaluation
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- **Score**: 1 (Best)
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- **NPS Score**: 10/10
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- **Understanding**: Complete grasp of cinematic requirements
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#### Key Strengths:
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- Deep integration of visual storytelling π
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- Technical precision in prompts π―
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- Atmospheric depth in descriptions π¨
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- Dynamic scene composition π₯
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""")
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st.markdown("---")
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st.markdown("*Created with β€οΈ for bike cinematography*")
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