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import gradio as gr
import rdflib
import json
# Função para carregar e extrair os nomes do arquivo JSON-LD
def load_names_from_jsonld(jsonld_file):
with open(jsonld_file, 'r', encoding='utf-8') as f:
data = json.load(f)
names = []
for item in data['@graph']:
if 'name' in item:
names.append(item['name'])
return names
# Carregar nomes do arquivo JSON-LD
names = load_names_from_jsonld('https://huggingface.co/spaces/histlearn/ShowGraph/raw/main/datafile.jsonld')
def run_query_and_visualize(qtext, turtle_file):
# Carrega o arquivo Turtle
g = rdflib.Graph()
g.parse(turtle_file, format="turtle")
# 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")
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")
query_input = gr.Textbox(label="Consulta SPARQL", value=update_query(names[0]), lines=10)
turtle_file_input = gr.File(label="Arquivo Turtle")
run_button = gr.Button("Executar Consulta")
graph_output = gr.HTML()
def on_location_change(loc):
query_input.value = update_query(loc)
selected_location.change(fn=on_location_change, inputs=selected_location, outputs=query_input)
def on_run_button_click(query, turtle_file):
return run_query_and_visualize(query, turtle_file.name)
run_button.click(fn=on_run_button_click, inputs=[query_input, turtle_file_input], outputs=graph_output)
demo.launch()
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