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Runtime error
| import spaces | |
| import gradio as gr | |
| from marker.convert import convert_single_pdf | |
| from marker.models import load_all_models | |
| import surya.detection as detection | |
| model_lst = load_all_models() | |
| # Monkey patch to prevent spawning processes | |
| def batch_text_detection(images, model, processor, batch_size=None): | |
| preds, orig_sizes = detection.batch_detection( | |
| images, model, processor, batch_size=batch_size | |
| ) | |
| results = [] | |
| for i in range(len(images)): | |
| result = detection.parallel_get_lines(preds[i], orig_sizes[i]) | |
| results.append(result) | |
| return results | |
| detection.batch_text_detection = batch_text_detection | |
| def convert(file_path): | |
| print(file_path) | |
| global model_lst | |
| full_text, images = convert_single_pdf( | |
| file_path, | |
| model_lst, | |
| max_pages=None, | |
| langs=None, | |
| batch_multiplier=16, | |
| ) | |
| return full_text | |
| gr.Interface( | |
| convert, | |
| inputs=gr.File(label="PDF file", type="filepath"), | |
| outputs=gr.Markdown(label="Markdown"), | |
| ).launch() | |