Create app.py

app.py

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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('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()