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| import os | |
| import gradio as gr | |
| from huggingface_hub import get_collection | |
| import re | |
| def extract_collection_id(input_text): | |
| # Check if input is a full URL | |
| url_match = re.match(r'https://huggingface\.co/collections/(.+)$', input_text) | |
| if url_match: | |
| return url_match.group(1) | |
| # Check if input is already in the correct format | |
| if re.match(r'^[\w-]+/[\w-]+$', input_text): | |
| return input_text | |
| return None | |
| def load_collection(): | |
| collection_input = os.getenv('COLLECTION_SLUG_OR_URL') | |
| if not collection_input: | |
| raise ValueError("COLLECTION_SLUG_OR_URL environment variable is not set.") | |
| collection_id = extract_collection_id(collection_input) | |
| if not collection_id: | |
| raise ValueError("Invalid collection ID or URL in COLLECTION_SLUG_OR_URL environment variable.") | |
| collection = get_collection(collection_id) | |
| dataset_ids = [item.item_id for item in collection.items if item.item_type == 'dataset'] | |
| if not dataset_ids: | |
| raise ValueError("No datasets found in this collection.") | |
| return dataset_ids, collection_id | |
| def display_dataset(dataset_ids, index): | |
| dataset_id = dataset_ids[index] | |
| return gr.HTML(f"""<iframe | |
| src="https://huggingface.co/datasets/{dataset_id}/embed/viewer" | |
| frameborder="0" | |
| width="100%" | |
| height="560px" | |
| ></iframe>""") | |
| def navigate_dataset(dataset_ids, index, direction): | |
| new_index = (index + direction) % len(dataset_ids) | |
| return new_index, f"Dataset {new_index + 1} of {len(dataset_ids)}: {dataset_ids[new_index]}" | |
| try: | |
| dataset_ids, collection_id = load_collection() | |
| with gr.Blocks() as demo: | |
| gr.Markdown(f"<h1>Dataset Viewer for Collection: {collection_id}</h1>") | |
| index_state = gr.State(value=0) | |
| with gr.Row(): | |
| left_btn = gr.Button("Previous") | |
| right_btn = gr.Button("Next") | |
| dataset_info = gr.Markdown(f"Dataset 1 of {len(dataset_ids)}: {dataset_ids[0]}") | |
| iframe_output = gr.HTML() | |
| left_btn.click( | |
| navigate_dataset, | |
| inputs=[gr.State(dataset_ids), index_state, gr.Number(-1, visible=False)], | |
| outputs=[index_state, dataset_info] | |
| ) | |
| right_btn.click( | |
| navigate_dataset, | |
| inputs=[gr.State(dataset_ids), index_state, gr.Number(1, visible=False)], | |
| outputs=[index_state, dataset_info] | |
| ) | |
| index_state.change( | |
| display_dataset, | |
| inputs=[gr.State(dataset_ids), index_state], | |
| outputs=[iframe_output] | |
| ) | |
| # Initialize the display with the first dataset | |
| demo.load( | |
| fn=lambda: display_dataset(dataset_ids, 0), | |
| inputs=None, | |
| outputs=[iframe_output], | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |
| except Exception as e: | |
| print(f"Error: {str(e)}") | |
| print("Please set the COLLECTION_SLUG_OR_URL environment variable with a valid collection ID or URL.") |