openAI done

app.py

@@ -5,17 +5,22 @@ import openai # type: ignore
 # openai.api_key = "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"
 client = openai.OpenAI()
 def respond(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p):
-    #make history
+    
+    #read system message
     messages = [{"role": "system", "content": system_message}]
+    
+    #read history
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
+    
+    #read output
     messages.append({"role": "user", "content": message})
-    print("## Messages: \n", messages)
+    print("## Messages: \n", messages) #debug output
 
-    #input
+    #create output
     response = client.responses.create(
         model="gpt-4.1-nano", 
         input=messages,
@@ -23,13 +28,15 @@ def respond(message, history: list[tuple[str, str]], system_message, max_tokens,
         top_p=top_p,
         max_output_tokens=max_tokens
     )
+
+    #read output
     response = response.output_text
-    print("## Response: ", response)
+    print("## Response: ", response) #debug output
     print("\n")
-    yield response
+    yield response #chat reply
 
-demo = gr.ChatInterface(
-    respond, #câu phản hồi
+chat = gr.ChatInterface(
+    respond, #chat
     additional_inputs=[
         gr.Textbox("Bạn là một chatbot tiếng Việt thân thiện.", label="System message"),
         gr.Slider(1, 2048, value=200, step=1, label="Max new tokens"),
@@ -39,4 +46,4 @@ demo = gr.ChatInterface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    chat.launch()