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| import gradio as gr | |
| from only_gradio_server import process_images | |
| # Provided dictionary of object names | |
| object_names = {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'} | |
| # Convert dictionary values to a list | |
| options_list = list(object_names.values()) | |
| # Create Gradio interface | |
| iface = gr.Interface(fn=process_images, | |
| inputs=[gr.Image(type='filepath', label='Main Image where object identify', width="60%", height="60%"), | |
| gr.Image(type='filepath', label='Object Image which placed on Main Image', image_mode="RGBA", width="60%", height="60%"), | |
| gr.Dropdown(options_list, label='Replace Object Name (Default = chair)')], | |
| outputs=gr.Image(type='numpy', label='Final Result', width="60%", height="60%"), | |
| title="AI Based Image Processing", | |
| description="Object to Object Replacement (Note: due to limitation of free usage on this server task will take approx 3-5 minutes for process, But the actual speed of this process on pc or dedicated server is < 10 seconds)") | |
| # Launch Gradio interface | |
| iface.launch() |