Update app.py

app.py

@@ -12,15 +12,11 @@ client = InferenceClient(
 )
 
 # Function to handle chatbot response
-def chat_with_model(user_input, system_content, history):
+def chat_with_model(user_input, history):
     response = ""
-    # Prepare the conversation with system content
-    messages = [{"role": "system", "content": system_content},
-                {"role": "user", "content": user_input}]
-    
     # Send user input to the model
     for message in client.chat_completion(
-        messages=messages,
+        messages=[{"role": "user", "content": user_input}],
         max_tokens=500,
         stream=True,
     ):
@@ -33,25 +29,20 @@ def chat_with_model(user_input, system_content, history):
 # Gradio interface
 with gr.Blocks(theme="nevreal/blues") as ui:
     gr.Markdown("# Gradio Chatbot with Phi-3-mini-4k-instruct")
-
-    # Dropdown for system content
-    system_content = gr.Textbox(
-        label="System Instructions",
-        value=f"you are Phi-3-mini-4k-instruct assistant a friendly chatbot developed by Microsoft and created by [nevproject](https://huggingface.co/nevproject)",
-        visible=False
-    )
-
+    
     # User input and chatbot output
     chatbot = gr.Chatbot()
     with gr.Row():
+        
         user_input = gr.Textbox(show_label=False, placeholder="Type a message...")
+        
         send_button = gr.Button("Send")
     
     # Store the chat history
     history = gr.State([])
 
     # Send button action
-    send_button.click(fn=chat_with_model, inputs=[user_input, system_content, history], outputs=[chatbot, history])
+    send_button.click(fn=chat_with_model, inputs=[user_input, history], outputs=[chatbot, history])
 
 # Launch the web UI
-ui.launch()
+ui.launch()