username and password

app.py

@@ -7,6 +7,9 @@ import gradio as gr
 from huggingface_hub import Repository, InferenceClient
 
 HF_TOKEN = os.environ.get("HF_TOKEN", None)
+USER_NAME = os.environ.get("USER_NAME", None)
+APP_PASSWORD = os.environ.get("APP_PASSWORD", None)
+
 API_URL = "https://api-inference.huggingface.co/models/tiiuae/falcon-180B-chat"
 BOT_NAME = "Falcon"
 
@@ -126,7 +129,7 @@ with gr.Blocks() as demo:
                 
                 ✨ This demo is powered by [Falcon-180B](https://huggingface.co/tiiuae/falcon-180B) and finetuned on a mixture of [Ultrachat](https://huggingface.co/datasets/stingning/ultrachat), [Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus) and [Airoboros](https://huggingface.co/datasets/jondurbin/airoboros-2.1). [Falcon-180B](https://huggingface.co/tiiuae/falcon-180b) is a state-of-the-art large language model built by the [Technology Innovation Institute](https://www.tii.ae) in Abu Dhabi. It is trained on 3.5 trillion tokens (including [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb)) and available under the [Falcon-180B TII License](https://huggingface.co/spaces/tiiuae/falcon-180b-license/blob/main/LICENSE.txt). It currently holds the 🥇 1st place on the [🤗 Open LLM leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) for a pretrained model. 
                 
-                🧪 This is only a **first experimental preview**: we intend to provide increasingly capable versions of Falcon in the future, based on improved datasets and RLHF/RLAIF.
+                🧪 Falcon in the futuremay improved datasets.
                 
                 👀 **Learn more about Falcon LLM:** [falconllm.tii.ae](https://falconllm.tii.ae/)
                 
@@ -142,4 +145,4 @@ with gr.Blocks() as demo:
         additional_inputs=additional_inputs,
     ) 
 
-demo.queue(concurrency_count=100, api_open=True).launch(show_api=True)
+demo.queue(concurrency_count=100, api_open=True).launch(show_api=True, auth=(USER_NAME, APP_PASSWORD))