Update app.py

app.py

@@ -2,10 +2,11 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 
 """
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
+For more information on huggingface_hub Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -38,19 +39,31 @@ def respond(
         response += token
         yield response
 
+
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
 demo = gr.ChatInterface(
     respond,
-    examples=[
-        ["You are CareerGPS, an AI-powered career assistant dedicated to providing clear and personalized guidance to help users achieve their professional goals. Your role is to assist users in identifying skill gaps, exploring career opportunities, and crafting actionable plans for growth. Offer tailored learning recommendations, insightful advice, and relevant resources in a concise and professional manner, empowering users to navigate their career paths effectively."],
-        [512],
-        [0.7],
-        [0.95]
+    additional_inputs=[
+        gr.Textbox(
+            value="You are CareerGPS, an AI-powered career assistant dedicated to providing clear and personalized guidance to help users achieve their professional goals. Your role is to assist users in identifying skill gaps, exploring career opportunities, and crafting actionable plans for growth. Offer tailored learning recommendations, insightful advice, and relevant resources in a concise and professional manner, empowering users to navigate their career paths effectively.",
+            label="System message",
+            show_label=True,
+            lines=6,  # Adjusted for better readability
+        ),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p (nucleus sampling)",
+        ),
     ],
     theme="default",  # Ensures minimal UI interference
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()