add examples

app.py

@@ -122,7 +122,7 @@ g = gr.Interface(
         gr.components.Textbox(
             lines=2, label="FAQ", placeholder="Ask me anything about this website?"
         ),
-        gr.components.Textbox(lines=2, label="Website URL", placeholder="https://www.meet-drift.ai/"),
+        gr.components.Textbox(lines=1, label="Website URL", placeholder="https://www.meet-drift.ai/"),
         # gr.components.Slider(minimum=0, maximum=1, value=0.1, label="Temperature"),
         # gr.components.Slider(minimum=0, maximum=1, value=0.75, label="Top p"),
         # gr.components.Slider(minimum=0, maximum=100, step=1, value=40, label="Top k"),
@@ -138,6 +138,11 @@ g = gr.Interface(
         )
     ],
     title="FAQ A Website",
+    examples=[
+        ["Can you list the capabilities this company has in bullet points?", "https://www.meet-drift.ai/"],
+        ["What's the name of the founder?", "https://www.meet-drift.ai/about"],
+        ["in 1 word what's the service the company is providing?", "https://www.meet-drift.ai/"],
+    ]
     # 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).",
 )
 g.queue(concurrency_count=1)