import gradio as gr import rdflib import requests from pyvis.network import Network # Função para carregar e extrair os nomes do arquivo JSON-LD a partir de uma URL def load_names_from_url(jsonld_url): response = requests.get(jsonld_url) data = response.json() names = [] for item in data: if 'name' in item: names.append(item['name']) return names # Carregar nomes do arquivo JSON-LD names = load_names_from_url('https://huggingface.co/spaces/histlearn/ShowGraph/raw/main/datafile.jsonld') def run_query_and_visualize(qtext, jsonld_url): # Carrega o arquivo JSON-LD g = rdflib.Graph() g.parse(jsonld_url, format="json-ld") # Executa a consulta SPARQL qres = g.query(qtext) # Prepara o gráfico com recursos remotos net = Network(notebook=False, height="400px", width="100%", cdn_resources='remote') nodes = set() # Processa os resultados da consulta for row in qres: s, p, o = row if str(s) not in nodes: net.add_node(str(s), label=str(s)) nodes.add(str(s)) if str(o) not in nodes: net.add_node(str(o), label=str(o)) nodes.add(str(o)) net.add_edge(str(s), str(o), title=str(p)) # Gera o gráfico e salva em um arquivo HTML net.show("graph.html") with open("graph.html", "r") as file: graph_html = file.read() return graph_html def update_query(selected_location): return f""" PREFIX schema: SELECT * WHERE {{ ?s schema:name "{selected_location}" . ?s ?p ?o . }} """ with gr.Blocks() as demo: gr.Markdown("# Visualização de Query SPARQL") with gr.Column(): selected_location = gr.Dropdown(choices=names, label="Selecione o Local") query_input = gr.Textbox(label="Consulta SPARQL", value=update_query(names[0]) if names else "", lines=10) run_button = gr.Button("Executar Consulta") graph_output = gr.HTML() def on_location_change(loc): return update_query(loc) selected_location.change(fn=on_location_change, inputs=selected_location, outputs=query_input) def on_run_button_click(query): return run_query_and_visualize(query, 'https://huggingface.co/spaces/histlearn/ShowGraph/raw/main/datafile.jsonld') run_button.click(fn=on_run_button_click, inputs=[query_input], outputs=graph_output) demo.launch()