Create app.py

app.py

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+import streamlit as st
+from PIL import Image, ImageDraw, ImageFont
+import io
+import time
+import os
+import random # For simulating variations
+
+# ------------------------------------------------------------------------------
+# Page Configuration
+# ------------------------------------------------------------------------------
+st.set_page_config(
+    page_title="AI Real Estate Visualization Suite",
+    layout="wide",
+    page_icon="💎",
+    initial_sidebar_state="expanded"
+)
+
+# ------------------------------------------------------------------------------
+# Advanced Placeholder for AI Model Call
+# ------------------------------------------------------------------------------
+# This function now accepts many more parameters to simulate advanced control.
+# In reality, this would likely involve multiple specialized AI models or a very
+# complex multi-modal model API.
+
+def run_advanced_ai_model(
+    input_data, # Could be PIL Image, or bytes for other formats
+    input_type: str, # 'image', 'floorplan', '3dmodel'
+    output_mode: str, # 'staging', 'renovation', 'material_swap', 'layout_variation'
+    room_type: str,
+    style: str,
+    furniture_prefs: str = "",
+    materials: dict = {}, # e.g., {'wall_color': '#FFFFFF', 'floor_type': 'Oak Wood'}
+    lighting_time: float = 0.5, # 0.0 (dawn) to 1.0 (dusk)
+    camera_angle: str = "Eye-Level",
+    remove_objects: bool = False,
+    renovation_instructions: str = "" # e.g., "Remove wall between kitchen and living room"
+    ) -> Image.Image:
+    """
+    Advanced placeholder simulating a sophisticated AI visualization model.
+    """
+    st.info(f"Simulating Advanced AI: Mode='{output_mode}', Style='{style}'...")
+    print(f"--- ADVANCED AI SIMULATION ---")
+    print(f"Input Type: {input_type}")
+    print(f"Output Mode: {output_mode}")
+    print(f"Room Type: {room_type}")
+    print(f"Style: {style}")
+    print(f"Furniture Prefs: {furniture_prefs if furniture_prefs else 'N/A'}")
+    print(f"Materials: {materials}")
+    print(f"Lighting Time (0-1): {lighting_time:.2f}")
+    print(f"Camera Angle: {camera_angle}")
+    print(f"Remove Existing Objects: {remove_objects}")
+    print(f"Renovation Instructions: {renovation_instructions if renovation_instructions else 'N/A'}")
+    print(f"-----------------------------")
+
+    # Simulate processing time based on complexity
+    processing_time = 3 + len(furniture_prefs) * 0.01 + len(materials) * 0.5
+    if output_mode == 'renovation': processing_time += 2
+    time.sleep(min(processing_time, 8)) # Cap simulation time
+
+    # --- Simulation Logic ---
+    # Determine the placeholder image based on mode
+    base_placeholder = "assets/staged_result_placeholder.png"
+    if output_mode == 'renovation':
+        base_placeholder = "assets/renovation_placeholder.png" # Need another dummy image
+    elif output_mode == 'material_swap':
+        base_placeholder = "assets/material_swap_placeholder.png" # Need another dummy image
+    elif output_mode == 'layout_variation':
+         base_placeholder = f"assets/layout_{random.randint(1,2)}_placeholder.png" # Need layout_1/2 dummies
+
+    if isinstance(input_data, Image.Image):
+        base_image = input_data # Use original if input was image
+    else:
+        base_image = None # Cannot use non-image input directly for overlay
+
+    # Try loading the specific placeholder
+    staged_image = None
+    if os.path.exists(base_placeholder):
+        try:
+            staged_image = Image.open(base_placeholder).convert("RGB")
+            print(f"SIMULATING AI: Loaded placeholder: {base_placeholder}")
+        except Exception as e:
+            print(f"Error loading placeholder '{base_placeholder}': {e}")
+            staged_image = None
+
+    # Fallback if placeholder failed or input wasn't an image for overlay
+    if staged_image is None:
+        if base_image:
+             staged_image = base_image.copy()
+             print("SIMULATING AI: Placeholder failed, using copy of original image.")
+        else:
+             # Create a generic image if no input image and placeholder failed
+             staged_image = Image.new('RGB', (800, 600), color = (200, 200, 200))
+             print("SIMULATING AI: Placeholder failed and no base image, using blank canvas.")
+
+    # Add text overlay summarizing the simulation
+    draw = ImageDraw.Draw(staged_image)
+    try:
+        font_path = "arial.ttf" # Check system fonts or provide path
+        font_size = 20
+        font = ImageFont.truetype(font_path, font_size)
+    except IOError:
+        font = ImageFont.load_default()
+
+    text_lines = [
+        f"AI Sim Result: {output_mode.replace('_', ' ').title()}",
+        f"Style: {style}, Room: {room_type}",
+        f"Lighting: {lighting_time:.2f}, Camera: {camera_angle}",
+    ]
+    if furniture_prefs: text_lines.append(f"Prefs: {furniture_prefs[:30]}...")
+    if materials.get('wall_color'): text_lines.append(f"Wall: {materials['wall_color']}")
+    if materials.get('floor_type'): text_lines.append(f"Floor: {materials['floor_type']}")
+    if remove_objects: text_lines.append(f"[Removed Objects]")
+    if renovation_instructions: text_lines.append(f"Reno: {renovation_instructions[:30]}...")
+
+    y_pos = 10
+    for line in text_lines:
+        try:
+             # Simple background box
+             text_bbox = draw.textbbox((10, y_pos), line, font=font)
+             # Add padding to bbox
+             padded_bbox = (text_bbox[0]-2, text_bbox[1]-2, text_bbox[2]+2, text_bbox[3]+2)
+             draw.rectangle(padded_bbox, fill="rgba(0, 0, 0, 0.6)")
+             draw.text((10, y_pos), line, fill="white", font=font)
+             y_pos += font_size + 4 # Move down for next line
+        except Exception as draw_err:
+            print(f"Error drawing text overlay: {draw_err}") # Log error but continue
+
+    print("SIMULATING AI: Processing complete.")
+    st.success(f"Advanced AI Simulation for '{output_mode}' Complete!")
+    return staged_image
+
+
+# ------------------------------------------------------------------------------
+# Initialize Session State
+# ------------------------------------------------------------------------------
+if 'input_data' not in st.session_state:
+    st.session_state.input_data = None # Can hold PIL Image or bytes
+if 'input_type' not in st.session_state:
+    st.session_state.input_type = None # 'image', 'floorplan', '3dmodel'
+if 'ai_result_image' not in st.session_state:
+    st.session_state.ai_result_image = None
+if 'uploaded_filename' not in st.session_state:
+    st.session_state.uploaded_filename = None
+if 'last_run_params' not in st.session_state: # Store params used for the run
+    st.session_state.last_run_params = {}
+
+# ------------------------------------------------------------------------------
+# Helper Functions
+# ------------------------------------------------------------------------------
+def display_input_placeholder(input_type, filename):
+    """Shows appropriate info for non-image inputs."""
+    if input_type == 'floorplan':
+        st.info(f"Floor Plan File Loaded: **{filename}**\n\n*(Rendering from floor plans is simulated)*")
+        # In a real app, you might use a library like `ezdxf` to show a basic plot
+    elif input_type == '3dmodel':
+        st.info(f"3D Model File Loaded: **{filename}**\n\n*(Rendering from 3D models is simulated)*")
+        # In a real app, you might use `pyvista` or `trimesh` for basic viewing
+    else:
+        st.warning("Unsupported input type for display.")
+
+# ------------------------------------------------------------------------------
+# Main Application UI
+# ------------------------------------------------------------------------------
+st.title("💎 Advanced AI Real Estate Visualization Suite")
+st.caption("Simulating cutting-edge AI for staging, renovation previews, material swaps, and more.")
+st.markdown("---")
+
+# --- Sidebar ---
+with st.sidebar:
+    st.header("⚙️ Input & Configuration")
+
+    input_file = st.file_uploader(
+        "1. Upload File",
+        type=["png", "jpg", "jpeg", "webp", "dxf", "dwg", "obj", "fbx"], # Accept more types
+        key="file_uploader",
+        accept_multiple_files=False,
+        help="Upload Room Image (JPG, PNG), Floor Plan (DXF - simulated), or 3D Model (OBJ - simulated)."
+    )
+
+    # --- Input Processing ---
+    if input_file is not None:
+        if input_file.name != st.session_state.uploaded_filename:
+            st.info(f"Processing '{input_file.name}'...")
+            file_ext = os.path.splitext(input_file.name)[1].lower()
+            file_bytes = input_file.getvalue()
+            processed = False
+
+            # Image Input
+            if file_ext in ['.png', '.jpg', '.jpeg', '.webp']:
+                try:
+                    image = Image.open(io.BytesIO(file_bytes)).convert("RGB")
+                    max_size = (1024, 1024) # Resize for consistency
+                    image.thumbnail(max_size, Image.Resampling.LANCZOS)
+                    st.session_state.input_data = image
+                    st.session_state.input_type = 'image'
+                    processed = True
+                except Exception as e: st.error(f"Error loading image: {e}")
+            # Floor Plan Input (Simulated)
+            elif file_ext in ['.dxf', '.dwg']:
+                 st.session_state.input_data = file_bytes # Store bytes
+                 st.session_state.input_type = 'floorplan'
+                 processed = True
+                 st.warning("Floor plan processing is simulated.")
+            # 3D Model Input (Simulated)
+            elif file_ext in ['.obj', '.fbx']:
+                 st.session_state.input_data = file_bytes # Store bytes
+                 st.session_state.input_type = '3dmodel'
+                 processed = True
+                 st.warning("3D model processing is simulated.")
+            else:
+                st.error(f"Unsupported file type: {file_ext}")
+
+            # Update state if processed successfully
+            if processed:
+                st.session_state.ai_result_image = None # Reset result
+                st.session_state.uploaded_filename = input_file.name
+                st.session_state.last_run_params = {} # Clear old params
+                st.success(f"File '{input_file.name}' ({st.session_state.input_type}) loaded.")
+            else:
+                 st.session_state.input_data = None
+                 st.session_state.input_type = None
+                 st.session_state.uploaded_filename = None
+
+    elif st.session_state.uploaded_filename: # File was removed by user
+         st.session_state.input_data = None
+         st.session_state.input_type = None
+         st.session_state.ai_result_image = None
+         st.session_state.uploaded_filename = None
+         st.session_state.last_run_params = {}
+
+
+    # --- Configuration Options (Only if input is loaded) ---
+    if st.session_state.input_data is not None:
+        st.markdown("---")
+        st.subheader("2. Visualization Mode")
+        output_mode = st.selectbox(
+            "Select Mode:",
+            options=['Virtual Staging', 'Renovation Preview', 'Material Swap', 'Layout Variation'],
+            key='output_mode_select',
+            help="Choose the type of visualization you want."
+        ).lower().replace(' ', '_') # Convert to key format like 'virtual_staging'
+
+        st.markdown("---")
+        st.subheader("3. Scene Parameters")
+        room_type = st.selectbox(
+            "Room Type:",
+            ["Living Room", "Bedroom", "Kitchen", "Dining Room", "Office", "Bathroom", "Other"],
+            key="room_select"
+        )
+        style = st.selectbox(
+            "Primary Style:",
+            ["Modern", "Contemporary", "Minimalist", "Scandinavian", "Industrial", "Traditional", "Coastal", "Farmhouse", "Bohemian"],
+            key="style_select"
+        )
+
+        # --- Advanced Controls Expander ---
+        with st.expander("✨ Advanced Controls"):
+            furniture_prefs = st.text_input(
+                "Furniture Preferences (Optional)",
+                placeholder="e.g., 'Large velvet green sofa', 'minimalist oak desk'",
+                key="furniture_input",
+                help="Describe specific furniture items or characteristics."
+            )
+
+            st.markdown("**Material Customization:**")
+            wall_color = st.color_picker("Wall Color (Approx.)", value="#FFFFFF", key="wall_color_picker")
+            floor_type = st.selectbox(
+                "Floor Type",
+                ["(Auto)", "Oak Wood", "Dark Wood", "Light Wood", "Carpet (Neutral)", "Concrete", "Tile (Light)", "Tile (Dark)"],
+                key="floor_select"
+            )
+            materials_dict = {'wall_color': wall_color, 'floor_type': floor_type}
+
+            st.markdown("**Lighting & Camera:**")
+            lighting_time = st.slider(
+                "Time of Day (Simulated)",
+                min_value=0.0, max_value=1.0, value=0.5, step=0.1, format="%.1f",
+                key="lighting_slider",
+                help="0.0 = Dawn/Sunrise, 0.5 = Midday, 1.0 = Dusk/Sunset"
+            )
+            camera_angle = st.selectbox(
+                "Camera Angle", ["Eye-Level", "High Angle", "Low Angle", "Wide Angle (Simulated)"],
+                key="camera_select"
+            )
+
+            st.markdown("**AI Assist Features:**")
+            remove_objects = st.checkbox(
+                "Attempt to Remove Existing Objects/Furniture", value=False, key="remove_obj_check",
+                help="If staging an image that isn't empty, AI will try to remove existing items first (Simulated)."
+            )
+
+            renovation_instructions = ""
+            if output_mode == 'renovation_preview': # Show only in renovation mode
+                renovation_instructions = st.text_input(
+                    "Renovation Instructions (Simulated)",
+                    placeholder="e.g., 'Remove center wall', 'add window on left wall'",
+                    key="renovation_input"
+                )
+
+        st.markdown("---")
+        st.subheader("4. Generate Visualization")
+        if st.button("🚀 Generate Advanced Visualization", key="generate_button", use_container_width=True):
+            with st.spinner("Engaging Advanced AI Simulation... ✨"):
+                try:
+                    run_params = {
+                        "input_data": st.session_state.input_data,
+                        "input_type": st.session_state.input_type,
+                        "output_mode": output_mode,
+                        "room_type": room_type,
+                        "style": style,
+                        "furniture_prefs": furniture_prefs,
+                        "materials": materials_dict,
+                        "lighting_time": lighting_time,
+                        "camera_angle": camera_angle,
+                        "remove_objects": remove_objects,
+                        "renovation_instructions": renovation_instructions,
+                    }
+                    st.session_state.last_run_params = run_params # Store params
+                    st.session_state.ai_result_image = run_advanced_ai_model(**run_params)
+
+                except Exception as e:
+                    st.error(f"An error occurred during AI simulation: {e}")
+                    st.session_state.ai_result_image = None
+
+    else:
+        st.info("⬆️ Upload a file to begin.")
+
+
+# --- Main Display Area ---
+col1, col2 = st.columns(2)
+
+with col1:
+    st.subheader("Input")
+    if st.session_state.input_data is not None:
+        if st.session_state.input_type == 'image':
+            st.image(st.session_state.input_data, caption=f"Original: {st.session_state.uploaded_filename}", use_column_width=True)
+        else:
+            # Display info for non-image types
+            display_input_placeholder(st.session_state.input_type, st.session_state.uploaded_filename)
+    else:
+        st.markdown("<div style='height: 400px; border: 2px dashed #ccc; display: flex; align-items: center; justify-content: center; text-align: center; color: #aaa; font-style: italic;'>Upload Input File</div>", unsafe_allow_html=True)
+
+with col2:
+    st.subheader("AI Visualization Result")
+    if st.session_state.ai_result_image is not None:
+        # Display the resulting image
+        run_mode_display = st.session_state.last_run_params.get('output_mode', 'N/A').replace('_', ' ').title()
+        st.image(st.session_state.ai_result_image, caption=f"Result ({run_mode_display} Simulation)", use_column_width=True)
+
+        # Display parameters used for this run
+        with st.expander("View Parameters Used for This Result", expanded=False):
+             st.json(st.session_state.last_run_params, expanded=True) # Cannot directly display image data in json
+
+
+        # Download Button
+        try:
+            buf = io.BytesIO()
+            img_to_save = st.session_state.ai_result_image
+            save_format = 'PNG' # Use PNG to preserve potential overlay quality
+            img_to_save.save(buf, format=save_format)
+            byte_im = buf.getvalue()
+
+            # Generate filename based on input and mode
+            base_name = os.path.splitext(st.session_state.uploaded_filename or 'ai_result')[0]
+            mode_name = st.session_state.last_run_params.get('output_mode', 'result')
+            download_filename = f"{base_name}_{mode_name}.{save_format.lower()}"
+
+            st.download_button(
+                label=f"Download Result ({save_format})",
+                data=byte_im,
+                file_name=download_filename,
+                mime=f"image/{save_format.lower()}"
+            )
+        except Exception as e:
+            st.error(f"Could not prepare image for download: {e}")
+
+    else:
+        st.markdown("<div style='height: 400px; border: 2px dashed #ccc; display: flex; align-items: center; justify-content: center; text-align: center; color: #aaa; font-style: italic;'>Result will appear here</div>", unsafe_allow_html=True)
+
+
+st.markdown("---")
+st.warning("""
+    **Disclaimer:** This is an advanced **demonstration** application.
+    All AI functionalities (staging, renovation, material swaps, floor plan/3D model processing, object removal etc.) are **simulated** using placeholder logic and images.
+    The purpose is to showcase a potential user interface and feature set for a sophisticated AI visualization tool.
+""")