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| import modal | |
| import gradio as gr | |
| import numpy as np | |
| f = modal.Cls.lookup("casa-interior-hf-v3", "DesignModel") | |
| f_gc = modal.Cls.lookup("casa-interior-gc-v1", "GetProduct") | |
| # def casa_ai_run_tab1(image=None, room_type=None, interior_style=None, objects=None): | |
| # if image is None: | |
| # print('Please provide image of empty room to design') | |
| # return None | |
| # if (room_type is None or interior_style is None or objects is None): | |
| # print('Please select all three (Room type, Interior Style and Objects') | |
| # return None | |
| # objects_str = ", ".join(objects) | |
| # text = f"A {room_type} in style of {interior_style} with {objects_str}." | |
| # result_image = f.inference.remote("tab1", image, text) | |
| # return result_image | |
| def casa_ai_run_tab1(image=None, text=None): | |
| if image is None: | |
| print('Please provide image of empty room to design') | |
| return None | |
| if text is None: | |
| print('Please provide a text prompt') | |
| return None | |
| result_image = f.inference.remote("tab1", image, text) | |
| return result_image | |
| def casa_ai_run_tab2(dict=None, text=None): | |
| image = dict["background"].convert("RGB") | |
| mask = dict["layers"][0].convert('L') | |
| if np.sum(np.array(mask)) == 0: | |
| mask = None | |
| if mask is None: | |
| print('Please provide a mask over the object you want to generate again.') | |
| if image is None and text is None: | |
| print('Please provide context in form of image, text') | |
| return None | |
| result_image = f.inference.remote("tab2", image, text, mask) | |
| return result_image | |
| def casa_ai_run_tab3(dict=None): | |
| selected_crop = dict["layers"][0].convert("RGB") | |
| if selected_crop is None: | |
| print('Please provide cropped object') | |
| return None | |
| result_image = f_gc.inference.remote(selected_crop) | |
| return result_image | |
| with gr.Blocks() as casa: | |
| title = "Casa-AI Demo" | |
| description = "A Gradio interface to use CasaAI for virtual staging" | |
| with gr.Tab("Reimagine"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| inputs = [ | |
| gr.Image(sources='upload', type="pil", label="Upload"), | |
| gr.Textbox(label="Room description.") | |
| # gr.Dropdown( | |
| # label="Room type", | |
| # choices=["Living Room", "Bedroom", "Home Office", "Dining Room", "Kitchen", "Bathroom"], | |
| # multiselect=False | |
| # ), | |
| # gr.Dropdown( | |
| # label="Interior Style", | |
| # choices=["Modern", "Traditional", "Contemporary", "Minimalist", "Rustic", "Industrial", "Scandinavian"], | |
| # multiselect=False | |
| # ), | |
| # gr.Dropdown( | |
| # label="Objects", | |
| # choices=["Sofa", "Bed", "Table", "Chair", "Fridge", "Dinning table", "Coffee table"], | |
| # multiselect=True | |
| # ), | |
| ] | |
| with gr.Column(): | |
| outputs = [gr.Image(label="Generated room image")] | |
| submit_btn = gr.Button("Generate!") | |
| submit_btn.click(casa_ai_run_tab1, inputs=inputs, outputs=outputs) | |
| with gr.Tab("Redesign"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| inputs = [ | |
| gr.ImageEditor(sources='upload', brush=gr.Brush(colors=["#FFFFFF"]), elem_id="image_upload", type="pil", label="Upload", layers=False, eraser=True, transforms=[]), | |
| gr.Textbox(label="Description for redesigning masked object")] | |
| with gr.Column(): | |
| outputs = [gr.Image(label="Image with new designed object")] | |
| submit_btn = gr.Button("Redesign!") | |
| submit_btn.click(casa_ai_run_tab2, inputs=inputs, outputs=outputs) | |
| with gr.Tab("Recommendation"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| inputs = [ | |
| gr.ImageEditor(sources='upload', elem_id="image_upload", type="pil", label="Upload", layers=False, eraser=False, brush=False, transforms=['crop']), | |
| ] | |
| with gr.Column(): | |
| outputs = [gr.Gallery(label="Similar products")] | |
| submit_btn = gr.Button("Find similar products!") | |
| submit_btn.click(casa_ai_run_tab3, inputs=inputs, outputs=outputs) | |
| casa.launch() | |
| # demo = gr.Interface(casa_ai_run, | |
| # inputs = [gr.ImageEditor(sources='upload', brush=gr.Brush(colors=["#FFFFFF"]), elem_id="image_upload", type="pil", label="Upload", layers=False, eraser=True, transforms=[]), | |
| # gr.Textbox(label="Prompt to design room"), | |
| # ], | |
| # outputs = [ | |
| # gr.Image(label="Generated room image"), | |
| # ], | |
| # title = title, | |
| # description = description, | |
| # ) | |
| # demo.launch() |