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import gradio as gr
import rdflib
import json
import requests
from pyvis.network import Network
from IPython.display import HTML
# Função para carregar e extrair os nomes do arquivo JSON-LD a partir de um URL
def load_names_from_url(url):
response = requests.get(url)
data = response.json()
print("Data received from URL:", data) # Adicionando impressão para depuração
names = []
for item in data:
if isinstance(item, dict) and '@graph' in item:
for entry in item['@graph']:
if 'name' in entry:
names.append(entry['name'])
return names
# Carregar nomes do arquivo JSON-LD a partir do URL
names = load_names_from_url('https://huggingface.co/spaces/histlearn/ShowGraph/raw/main/datafile.jsonld')
print("Loaded names:", names) # Adicionando impressão para depuração
def run_query_and_visualize(qtext, jsonld_file):
# Carrega o arquivo JSON-LD
g = rdflib.Graph()
g.parse(jsonld_file, format="json-ld")
# Executa a consulta SPARQL
qres = g.query(qtext)
# Prepara o gráfico com recursos remotos
net = Network(notebook=True, 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 o exibe diretamente na célula do notebook
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: <http://schema.org/>
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")
if names: # Verifica se a lista de nomes não está vazia
query_input = gr.Textbox(label="Consulta SPARQL", value=update_query(names[0]), lines=10)
else:
query_input = gr.Textbox(label="Consulta SPARQL", value="", 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()
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