import json import streamlit as st from datasets import load_from_disk class Visualization: def __init__(self, path_web_documents_dataset): self.path_web_documents_dataset = path_web_documents_dataset def visualization(self): self.set_title() self.load_dataset() self.choose_document() self.display_document() def set_title(self): st.title("Visualization of OBELICS web documents") def load_dataset(self): self.dataset = load_from_disk(self.path_web_documents_dataset) def choose_document(self): st.header("Choose a document") idx = st.number_input( f"Select a document among the first {self.dataset.num_rows} ones", min_value=0, max_value=self.dataset.num_rows - 1, value=0, step=1, help=f"Index between 0 and {self.dataset.num_rows-1}", ) self.current_doc = self.dataset[idx] def display_document(self): st.header("Document") texts = self.current_doc["texts"] images = self.current_doc["images"] metadata = json.loads(self.current_doc["metadata"]) for text, image, meta in zip(texts, images, metadata): if text: display_text = f"{text}\n".replace("\n", "
") # .replace(" ", " ") Preserves white spaces, but creates text outside the width of the window st.markdown(f"
{display_text}
", unsafe_allow_html=True) elif image: st.markdown(f'', unsafe_allow_html=True) st.text("\n") if __name__ == "__main__": st.set_page_config(layout="wide") path_web_documents_dataset = "./web_docs_final_replaceimgbyurl" visualization = Visualization(path_web_documents_dataset=path_web_documents_dataset) visualization.visualization()