Update app.py
Browse files
app.py
CHANGED
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@@ -1,4 +1,4 @@
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import os
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from huggingface_hub import InferenceClient
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from PIL import Image
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@@ -36,9 +36,9 @@ gr.Interface(
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outputs=gr.Image(label="Redesigned Room"),
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title="AI Room Redesign (No Local Model)",
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description="Upload a room image and redesign it using prompts"
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).launch()
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import gradio as gr
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from PIL import Image
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from diffusers import StableDiffusionImg2ImgPipeline
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import torch
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@@ -55,7 +55,7 @@ def redesign_room(image, style, colors, lighting, strength):
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# Resize for CPU
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image = image.convert("RGB").resize((512, 512))
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prompt = f"
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Redesign this room with photorealistic style.
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Preserve all existing walls, windows, doors, and furniture layout.
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Interior style: {style}
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@@ -63,7 +63,7 @@ Color palette: {colors}
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Lighting: {lighting}
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No distortions, no extra windows, no unrealistic objects.
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High-quality render with realistic shadows.
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"
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negative_prompt = "change room layout, move furniture, add windows, distort walls, cartoon"
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@@ -91,5 +91,5 @@ with gr.Blocks() as demo:
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btn = gr.Button("Redesign Room")
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btn.click(redesign_room, [image_input, style, colors, lighting, strength], output)
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demo.launch()
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import gradio as gr
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import os
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from huggingface_hub import InferenceClient
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from PIL import Image
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outputs=gr.Image(label="Redesigned Room"),
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title="AI Room Redesign (No Local Model)",
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description="Upload a room image and redesign it using prompts"
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).launch()
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""""import gradio as gr
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from PIL import Image
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from diffusers import StableDiffusionImg2ImgPipeline
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import torch
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# Resize for CPU
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image = image.convert("RGB").resize((512, 512))
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prompt = f"
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Redesign this room with photorealistic style.
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Preserve all existing walls, windows, doors, and furniture layout.
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Interior style: {style}
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Lighting: {lighting}
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No distortions, no extra windows, no unrealistic objects.
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High-quality render with realistic shadows.
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"
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negative_prompt = "change room layout, move furniture, add windows, distort walls, cartoon"
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btn = gr.Button("Redesign Room")
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btn.click(redesign_room, [image_input, style, colors, lighting, strength], output)
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demo.launch()"""
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