update app.py

app.py

@@ -38,8 +38,7 @@ def get_sample_filter(repo_name):
 
 
 # Create the Gradio interface
-#repo_name = gr.Slider(value=0, min=0, max=len(dataset["test"]), step=1, label='Repository Name') 
-#repo_name = gr.Slider(value=0, min=0, max=len(dataset["test"]), step=1, label='Repository Name') 
+block = gr.Markdown("[https://huggingface.co/datasets/princeton-nlp/SWE-bench](https://huggingface.co/datasets/princeton-nlp/SWE-bench)")
 slider = gr.Slider(label="Select ID", minimum=0, maximum=2248, step=1, value=0)
 input_box=gr.Textbox(lines=1, placeholder="Enter sample ID (integer)")