Update app.py

app.py

@@ -115,7 +115,7 @@ def evaluate(
     return output.split("### Response:")[1].strip()
 
 
-gr.Interface(
+g = gr.Interface(
     fn=evaluate,
     inputs=[
         gr.components.Textbox(
@@ -138,7 +138,9 @@ gr.Interface(
     ],
     title="🦙🌲 Alpaca-LoRA",
     description="Alpaca-LoRA is a 7B-parameter LLaMA model finetuned to follow instructions. It is trained on the [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset and makes use of the Huggingface LLaMA implementation. For more information, please visit [the project's website](https://github.com/tloen/alpaca-lora).",
-).launch()
+)
+g.queue(concurrency_count=1)
+g.launch()
 
 # Old testing code follows.