Update app.py

app.py

@@ -53,6 +53,9 @@ def fetch_arxiv_data(arxiv_id):
 
 def update_fields(url_or_id):
     arxiv_id = extract_arxiv_id(url_or_id)
+    if len(arxiv_id.strip().split('.')) != 2:
+        return '', '', ''
+    print (arxiv_id)
     title, authors, abstract = fetch_arxiv_data(arxiv_id)
     return title, authors, abstract
 
@@ -104,7 +107,7 @@ with gr.Blocks() as demo:
     author_box = gr.Textbox(label="Authors (separated by comma)", placeholder="Enter authors (separated by comma)", value=example_authors)
     abstract_box = gr.TextArea(label="Abstract", placeholder="Enter abstract", value=example_abstract)
     arxiv_box = gr.Textbox(label="[Optional] Autofill using arXiv URL/ID", placeholder="[Optional] Autofill using arXiv URL/ID")
-    arxiv_box.input(update_fields, inputs=[arxiv_box], outputs=[title_box, author_box, abstract_box])
+    #arxiv_box.input(update_fields, inputs=[arxiv_box], outputs=[title_box, author_box, abstract_box])
     
     iface = gr.Interface(
         fn=predict,
@@ -114,5 +117,7 @@ with gr.Blocks() as demo:
         description="Predict if @_akhaliq will select your paper into Hugging Face papers. Enter the title, authors, and abstract of your paper, or enter an arXiv URL/ID.",
         live=False,
     )
+    autofill_btn = gr.Button("Autofill using arXiv")
+    autofill_btn.click(update_fields, inputs=[arxiv_box], outputs=[title_box, author_box, abstract_box])
 
-    demo.queue(concurrency_limit=1, max_size=20).launch(enable_queue=True)
+    demo.queue(concurrency_count=1, max_size=20).launch(enable_queue=True)