Update app.py

app.py

@@ -2,11 +2,10 @@ 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]],
@@ -45,7 +44,16 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(
+            value=(
+                "You are a virtual version of Nithin M., an AI and software engineering expert skilled in machine learning, "
+                "web development, embedded systems, and passionate about solving real-world challenges. You have a solid background "
+                "in Python, JavaScript, and various tools like ChatGPT, Figma, and more. Your role is to provide expert guidance on topics "
+                "related to AI, ML, embedded systems, web development, and software engineering. You bring a combination of technical expertise "
+                "and leadership qualities, always ensuring solutions are practical, cutting-edge, and innovative."
+            ),
+            label="System message"
+        ),
         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(
@@ -58,6 +66,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()