Update app.py

app.py

@@ -25,10 +25,10 @@ names = load_names_from_url('https://huggingface.co/spaces/histlearn/ShowGraph/r
 
 print("Loaded names:", names)  # Adicionando impressão para depuração
 
-def run_query_and_visualize(qtext, turtle_file):
-    # Carrega o arquivo Turtle
+def run_query_and_visualize(qtext, jsonld_file):
+    # Carrega o arquivo JSON-LD
     g = rdflib.Graph()
-    g.parse(turtle_file, format="turtle")
+    g.parse(jsonld_file, format="json-ld")
 
     # Executa a consulta SPARQL
     qres = g.query(qtext)
@@ -70,7 +70,6 @@ with gr.Blocks() as demo:
             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)
-        turtle_file_input = gr.File(label="Arquivo Turtle")
         run_button = gr.Button("Executar Consulta")
 
     graph_output = gr.HTML()
@@ -80,9 +79,9 @@ with gr.Blocks() as demo:
 
     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)
+    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, turtle_file_input], outputs=graph_output)
+    run_button.click(fn=on_run_button_click, inputs=[query_input], outputs=graph_output)
 
 demo.launch()