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Create app.py
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app.py
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import gradio as gr
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import numpy as np
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from PIL import Image
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import io
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import base64
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import requests
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from huggingface_hub import InferenceClient
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# Initialize clients
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client = InferenceClient()
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def segment_and_edit(image, prompt):
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"""
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Fast interior design editor using Hugging Face Inference API
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"""
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try:
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# Convert PIL to bytes
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img_byte_arr = io.BytesIO()
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image.save(img_byte_arr, format='PNG')
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img_byte_arr = img_byte_arr.getvalue()
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# Use ControlNet Canny for guided editing (faster than segmentation)
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# This maintains room structure while applying edits
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edited_image = client.image_to_image(
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image=img_byte_arr,
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prompt=f"interior design photo, {prompt}, professional photography, 4k, detailed",
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negative_prompt="blurry, distorted, low quality, watermark",
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model="stabilityai/stable-diffusion-2-1",
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strength=0.75, # Balance between original and edit
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)
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return edited_image
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except Exception as e:
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return None, f"Error: {str(e)}"
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def process_room(image, edit_prompt):
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"""Main processing function"""
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if image is None:
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return None, "Please upload an image"
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if not edit_prompt.strip():
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return None, "Please provide editing instructions"
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# Process the image
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result = segment_and_edit(image, edit_prompt)
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if isinstance(result, tuple):
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return result
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return result, "✅ Edit complete!"
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# Gradio Interface
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("""
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# 🏠 AI Interior Designer Assistant
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Upload a room photo and describe your desired changes. Uses AI to redesign your space.
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**Example prompts:**
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- "Change the sofa to mid-century modern, deep blue velvet"
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- "Replace with white minimalist furniture and add plants"
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- "Make it Scandinavian style with light wood"
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""")
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(type="pil", label="Upload Room Photo")
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edit_prompt = gr.Textbox(
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label="Describe Your Changes",
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placeholder="E.g., change the sofa to modern gray fabric and add a floor lamp",
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lines=3
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)
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submit_btn = gr.Button("Transform Room 🎨", variant="primary")
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with gr.Column():
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output_image = gr.Image(label="Redesigned Room")
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status_text = gr.Textbox(label="Status", interactive=False)
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# Examples
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gr.Examples(
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examples=[
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["Change to modern minimalist with white furniture", None],
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["Replace with bohemian style, add colorful cushions and plants", None],
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["Make it industrial loft style with exposed brick aesthetic", None],
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],
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inputs=[edit_prompt, input_image],
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)
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submit_btn.click(
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fn=process_room,
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inputs=[input_image, edit_prompt],
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outputs=[output_image, status_text]
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)
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if __name__ == "__main__":
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demo.launch()
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