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| import modal | |
| import gradio as gr | |
| f = modal.Cls.lookup("casa-interior-hf-v2", "DesignModel") | |
| def casa_ai_run(dict=None, text=None): | |
| image = dict["background"].convert("RGB") | |
| mask = dict["layers"][0].convert('L') | |
| if image is None and text is None: | |
| print('Please provide context in form of image, audio, text') | |
| return None | |
| result_image = f.inference.remote(image, text, mask) | |
| 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.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")] | |
| with gr.Column(): | |
| outputs = [gr.Image(label="Generated room image")] | |
| submit_btn = gr.Button("Submit") | |
| submit_btn.click(casa_ai_run, inputs=inputs, outputs=outputs) | |
| with gr.Tab("ReDesign"): | |
| pass | |
| with gr.Tab("Recommendation"): | |
| pass | |
| # 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, | |
| # ) | |
| casa.launch() | |