update

app.py

@@ -3,7 +3,7 @@ import rdflib
 
 # Load the Turtle file and initialize the graph
 g = rdflib.Graph()
-g.parse('huggingface.ttl')
+g.parse('huggingface-30k.ttl')
 
 # Define the function to execute the SPARQL query
 def run_sparql(query):
@@ -27,8 +27,8 @@ demo = gr.Interface(
     fn=run_sparql,
     inputs=query_input,
     outputs=output_text,
-    title="Hugging Face Datasets SPARQL Query Interface",
-    description="Enter a SPARQL query to retrieve data from the Turtle file. Generated by [huggingface-rdf](https://github.com/david4096/huggingface-rdf). [Download the turtle file locally](https://github.com/david4096/huggingface-rdf/releases/download/data-release/huggingface.ttl) and load it into your [favorite triple store](https://github.com/david4096/huggingface-rdf/tree/main/qlever_scripts)!",
+    title="Hugging Face Datasets SPARQL Query Interface (medium subset)",
+    description="Enter a SPARQL query to retrieve data from 30k Hugging Face datasets. Generated by [huggingface-rdf](https://github.com/david4096/huggingface-rdf). [Download the turtle file locally](https://huggingface.co/datasets/david4096/huggingface-ttl/resolve/main/huggingface-30k.ttl?download=true) and load it into your [favorite triple store](https://github.com/david4096/huggingface-rdf/tree/main/qlever_scripts)!",
 )
 
 if __name__ == "__main__":

huggingface.ttl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b427f632d71c69ffc8a820689d3ffc0ecd764aa9af7920b57c69afb3c366655f
-size 22698390