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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +240 -34
src/streamlit_app.py
CHANGED
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@@ -1,40 +1,246 @@
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import altair as alt
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import numpy as np
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import pandas as pd
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import streamlit as st
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forums](https://discuss.streamlit.io).
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"""
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import streamlit as st
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import base64
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from openai import OpenAI
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from datetime import datetime
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# Page configuration - MUST be first Streamlit command
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st.set_page_config(
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page_title="Gen AI Learniverse - Project 17: AI Product Design Generator",
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layout="centered",
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page_icon="π§ͺ"
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)
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# API Key Input Section
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st.markdown("### π OpenAI API Configuration")
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api_key_input = st.text_input(
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"Enter your OpenAI API Key",
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type="password",
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placeholder="sk-...",
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help="Get your API key from https://platform.openai.com/api-keys"
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)
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# Initialize OpenAI client with UI input
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client = None
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if api_key_input:
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try:
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client = OpenAI(api_key=api_key_input)
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st.success("β
API key provided successfully!")
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except Exception as e:
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st.error(f"β Invalid API key: {str(e)}")
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st.stop()
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def create_enhanced_prompt(description, style, background):
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"""Create an optimized prompt for GPT Image"""
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style_modifiers = {
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"Photorealistic": "photorealistic, high-definition, commercial photography quality",
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"Minimalist": "clean minimalist design, simple geometric forms, uncluttered",
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"Premium": "luxury premium materials, high-end finish, sophisticated design",
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"Industrial": "industrial design aesthetic, functional form, raw materials",
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"Eco-friendly": "sustainable materials, natural textures, environmentally conscious design",
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"Futuristic": "cutting-edge futuristic design, sleek surfaces, advanced technology",
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"Retro": "vintage-inspired design, classic proportions, nostalgic elements"
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}
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background_settings = {
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"White Studio": "clean white studio background with soft professional lighting",
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"Wooden Table": "natural wood surface with warm ambient lighting",
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"Marble Counter": "elegant marble surface with subtle veining and reflections",
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"Gradient": "smooth gradient background transitioning from light to dark",
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"Natural Light": "soft natural daylight with gentle shadows",
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"Dark Dramatic": "dark moody background with dramatic accent lighting"
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}
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prompt = f"""
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Product design visualization: {description.strip()}
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Style requirements:
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- {style_modifiers.get(style, style.lower())} aesthetic
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- {background_settings.get(background, background.lower())}
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- Professional product photography composition
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- Sharp focus with appropriate depth of field
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- Consistent lighting that highlights product features and materials
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Technical specifications:
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- Center the product in frame with balanced composition
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- Include subtle reflections and shadows for realism
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- Maintain accurate proportions and scale
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- Ensure all product details are clearly visible
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- Use studio-quality lighting setup
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Render as a catalog-ready product image with commercial photography standards.
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"""
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return prompt
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def generate_product_design(description, style, background, size, quality, transparent):
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"""Generate product design with improved prompting"""
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with st.spinner("π¨ Creating your product design... This may take up to 2 minutes for complex designs."):
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# Parse size selection
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size_map = {
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"1024x1024 (Square)": "1024x1024",
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"1536x1024 (Landscape)": "1536x1024",
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"1024x1536 (Portrait)": "1024x1536"
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}
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selected_size = size_map[size]
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# Enhanced prompt engineering
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prompt = create_enhanced_prompt(description, style, background)
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try:
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# Prepare generation parameters
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gen_params = {
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"model": "gpt-image-1",
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"prompt": prompt,
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"size": selected_size,
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"quality": quality,
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"n": 1
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}
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# Add transparency if requested and compatible
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if transparent and quality in ["medium", "high"]:
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gen_params["background"] = "transparent"
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st.info("π― Generating with transparent background")
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# Generate image
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result = client.images.generate(**gen_params)
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# Process and display result
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image_base64 = result.data[0].b64_json
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image_bytes = base64.b64decode(image_base64)
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# Display with better formatting
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st.success("β
Product design generated successfully!")
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col_img, col_info = st.columns([3, 1])
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with col_img:
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st.image(
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image_bytes,
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caption=f"π¨ {style} Product Design",
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use_column_width=True
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)
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with col_info:
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st.markdown("**Generation Details:**")
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st.text(f"Size: {selected_size}")
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st.text(f"Quality: {quality}")
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st.text(f"Style: {style}")
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if transparent and quality in ["medium", "high"]:
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st.text("Background: Transparent")
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# Download options
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"product_design_{timestamp}.png"
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st.download_button(
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label="π₯ Download High-Quality Image",
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data=image_bytes,
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file_name=filename,
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mime="image/png",
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help="Save your generated product design"
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)
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except Exception as e:
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st.error(f"β Generation failed: {str(e)}")
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# Provide helpful error guidance
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if "rate limit" in str(e).lower():
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st.info("π Rate limit reached. Please wait a moment before trying again.")
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elif "content policy" in str(e).lower():
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st.warning("β οΈ Your prompt may have triggered content filters. Try rephrasing your description.")
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else:
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st.info("π‘ Try simplifying your description or reducing the quality setting.")
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#Main UI
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st.title("Project 17: @GENAILearniverse - AI Product Design Prototype Generator")
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st.markdown("Transform your product ideas into stunning visual prototypes using GPT Image!")
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# Only show main interface if API key is provided
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if client:
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# Create tabs for better organization
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tab1, tab2 = st.tabs(["π¨ Generate Design", "βΉοΈ Tips & Examples"])
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with tab1:
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# User input with better validation
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product_description = st.text_area(
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"Describe Your Product Idea",
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height=120,
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placeholder="E.g., A sleek wireless charging pad with a transparent glass surface and glowing LED indicators, featuring a minimalist circular design",
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help="Be specific about materials, colors, shapes, and key features"
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)
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# Enhanced options in columns
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col1, col2, col3 = st.columns(3)
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with col1:
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style = st.selectbox(
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"Design Style",
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["Photorealistic", "Minimalist", "Premium", "Industrial", "Eco-friendly", "Futuristic", "Retro"]
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)
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with col2:
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background = st.selectbox(
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"Background Setting",
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["White Studio", "Wooden Table", "Marble Counter", "Gradient", "Natural Light", "Dark Dramatic"]
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)
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with col3:
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image_size = st.selectbox(
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"Image Size",
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["1024x1024 (Square)", "1536x1024 (Landscape)", "1024x1536 (Portrait)"],
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help="Square is fastest to generate"
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)
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# Advanced options in expander
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with st.expander("π§ Advanced Settings"):
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col_adv1, col_adv2 = st.columns(2)
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with col_adv1:
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quality = st.selectbox(
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"Quality Level",
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["auto", "high", "medium", "low"],
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help="Higher quality takes longer but produces better results"
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)
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with col_adv2:
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transparent_bg = st.checkbox(
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"Transparent Background",
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help="Only works with PNG format and medium/high quality"
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)
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# Generate button with validation
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if st.button("π Generate Product Design", type="primary"):
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if not product_description.strip():
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st.error("Please describe your product idea first!")
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else:
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generate_product_design(product_description, style, background, image_size, quality, transparent_bg)
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with tab2:
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st.markdown("""
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### π‘ Tips for Better Results
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**Be Specific:**
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- Include materials (glass, metal, plastic, wood)
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- Mention colors and finishes (matte black, glossy white, brushed aluminum)
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- Describe size and proportions
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- Add functional details (buttons, screens, ports)
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**Example Prompts:**
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- "A compact bluetooth speaker with fabric mesh front, rounded corners, and copper accents"
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- "An ergonomic computer mouse with RGB lighting strips and textured grip surfaces"
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- "A sleek water bottle with bamboo cap and measurement markings on the side"
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**Style Guide:**
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- **Photorealistic**: Perfect for marketing materials
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- **Minimalist**: Clean, simple designs
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- **Premium**: Luxury feel with high-end materials
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- **Industrial**: Raw, functional aesthetic
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""")
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else:
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st.info("π Please enter your OpenAI API key above to get started!")
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