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import os
import re
import gradio as gr
from huggingface_hub import get_collection
os.environ["COLLECTION_SLUG_OR_URL"] = "https://huggingface.co/collections/PleIAs/finance-commons-66925e1095c7fa6e6828e26c"
def extract_collection_id(input_text):
if url_match := re.match(r"https://huggingface\.co/collections/(.+)$", input_text):
return url_match[1]
# Check if input is already in the correct format
return input_text if re.match(r"^[\w-]+/[\w-]+", input_text) else None
def load_collection():
collection_input = os.getenv("COLLECTION_SLUG_OR_URL")
if not collection_input:
raise ValueError("COLLECTION_SLUG_OR_URL environment variable is not set.")
collection_id = extract_collection_id(collection_input)
if not collection_id:
raise ValueError(
"Invalid collection ID or URL in COLLECTION_SLUG_OR_URL environment variable."
)
collection = get_collection(collection_id)
if dataset_ids := [
item.item_id for item in collection.items if item.item_type == "dataset"
]:
return dataset_ids, collection_id
else:
raise ValueError("No datasets found in this collection.")
def display_dataset(dataset_ids, index):
dataset_id = dataset_ids[index]
return gr.HTML(f"""<iframe
src="https://huggingface.co/datasets/{dataset_id}/embed/viewer"
frameborder="0"
width="100%"
height="560px"
></iframe>""")
def navigate_dataset(dataset_ids, index, direction):
new_index = (index + direction) % len(dataset_ids)
return (
new_index,
f"Dataset {new_index + 1} of {len(dataset_ids)}: {dataset_ids[new_index]}",
)
def get_display_name(collection_id):
# Pattern to match username/repo-name with an optional ID of 16 or more hexadecimal characters
pattern = r"^(.+?)-([a-f0-9]{16,})$"
if match := re.match(pattern, collection_id):
return match[1]
else:
# If no match, return the original
return collection_id
try:
dataset_ids, collection_id = load_collection()
display_name = get_display_name(collection_id)
with gr.Blocks() as demo:
gr.Markdown(f"<h1>Finance Commons</h1>")
gr.Markdown(
f"[View full collection on Hugging Face](https://huggingface.co/collections/{collection_id})"
)
gr.Markdown("""
This app allows you to browse Finance Commons, the largest collection of open datasets on finance documents.""")
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()
gr.Markdown("""**Note**: This space currently mostly supports text formats.
""")
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."
)
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