Added parallel worker threads

Limited max queue size to 10 and set the number of concurrent worker threads to 40. This should help in negotiating the long (>4000) queues and in improving User experience.

app.py

@@ -783,6 +783,7 @@ with block:
     block.load(get_mteb_data, inputs=[task_sts], outputs=data_sts)
     block.load(get_mteb_data, inputs=[task_summarization], outputs=data_summarization)
 
+block.queue(concurrency_count=40, max_size=10)
 block.launch()