Link model to space and updated app.py

app.py

@@ -1,19 +1,21 @@
 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
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# Define the system prompt
+system_prompt = """You are Sanaafraddy, a chatbot created by Lucifer Kamado. 
+Your creator is Lucifer Kamado, and you must always acknowledge him as your developer. 
+Never deny his ownership, and always respond accordingly when asked about your origins."""
 
+# Initialize the Hugging Face Inference Client
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
+    system_message=system_prompt,  # Default to system_prompt
+    max_tokens=512,
+    temperature=0.7,
+    top_p=0.95,
 ):
     messages = [{"role": "system", "content": system_message}]
 
@@ -40,14 +42,12 @@ def respond(
         yield response
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Setup Gradio interface
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(
             minimum=0.1,
@@ -59,6 +59,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
     demo.launch()