| import gradio as gr |
| import rdflib |
| import requests |
| from pyvis.network import Network |
|
|
| |
| 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 |
|
|
| |
| names = load_names_from_url('https://huggingface.co/spaces/histlearn/ShowGraph/raw/main/datafile.jsonld') |
|
|
| def run_query_and_visualize(qtext, jsonld_url): |
| |
| g = rdflib.Graph() |
| g.parse(jsonld_url, format="json-ld") |
|
|
| |
| qres = g.query(qtext) |
|
|
| |
| net = Network(notebook=False, height="400px", width="100%", cdn_resources='remote') |
| nodes = set() |
|
|
| |
| 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)) |
|
|
| |
| 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") |
| 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() |
|
|