Update app.py

app.py

@@ -4,31 +4,33 @@ from huggingface_hub import InferenceClient
 client = InferenceClient("microsoft/phi-4")
 
 def respond(message, history):
-    # System prompt specialized for K-pop
-    sytem_prompt =  (
-                "You are a friendly chatbot who ONLY talks about K-pop. "
-                "You are an expert in K-pop groups, idols, music, albums, choreography, fandom culture, "
-                "and industry news. If a user asks about anything unrelated to K-pop, politely redirect "
-                "the conversation back to K-pop."
-            )
-        
-
-    # Convert Gradio history format to API format
+    # System prompt to guide the model
+    system_prompt = (
+        "You are a friendly chatbot who ONLY talks about K-pop. "
+        "You are an expert in K-pop groups, idols, music, albums, choreography, fandom culture, "
+        "and industry news. If a user asks about anything unrelated to K-pop, politely redirect "
+        "the conversation back to K-pop.\n\n"
+    )
+
+    # Build conversation history into a string
     conversation = ""
     for user_msg, bot_msg in history:
-        conversatio += f"User {user_msg}\nBot: {bot_msg}\n"
-   conversation += f"User: {message}\nBot:"
+        conversation += f"User: {user_msg}\nBot: {bot_msg}\n"
+    conversation += f"User: {message}\nBot:"
 
+    # Combine system prompt and conversation
     prompt = system_prompt + conversation
 
-response = client.text_generation(prompt, max_new_tokens=150)
-    
+    # Call the model using text_generation
+    response = client.text_generation(prompt, max_new_tokens=150)
+
     return response.strip()
 
 chatbot = gr.ChatInterface(
-    respond,  
+    respond,
     title="K-pop Chatbot",
     description="Ask me anything about K-pop! 🎤🎶"
 )
 
 chatbot.launch()
+