Update app.py

app.py

@@ -13,19 +13,14 @@ You explain data science, machine learning,
 statistics, Python, and big data concepts clearly.
 """
 
-def query_groq(user_message, chat_history):
+def query_groq(chat_history):
     headers = {
         "Authorization": f"Bearer {GROQ_API_KEY}",
         "Content-Type": "application/json"
     }
 
     messages = [{"role": "system", "content": SYSTEM_PROMPT}]
-
-    for user, bot in chat_history:
-        messages.append({"role": "user", "content": user})
-        messages.append({"role": "assistant", "content": bot})
-
-    messages.append({"role": "user", "content": user_message})
+    messages.extend(chat_history)
 
     response = requests.post(
         GROQ_API_URL,
@@ -42,15 +37,22 @@ def query_groq(user_message, chat_history):
     else:
         return "❌ Error connecting to GROQ API"
 
-def respond(message, chat_history):
-    reply = query_groq(message, chat_history)
-    chat_history.append((message, reply))
+def respond(user_message, chat_history):
+    # add user message
+    chat_history.append({"role": "user", "content": user_message})
+
+    # get bot reply
+    reply = query_groq(chat_history)
+
+    # add assistant reply
+    chat_history.append({"role": "assistant", "content": reply})
+
     return chat_history, chat_history
 
 with gr.Blocks() as demo:
     gr.Markdown("## 📊 Data Science Tutor Chatbot")
 
-    chatbot = gr.Chatbot(type="tuples")
+    chatbot = gr.Chatbot()
     msg = gr.Textbox(label="Ask your question")
     clear = gr.Button("Clear Chat")
 
@@ -60,4 +62,3 @@ with gr.Blocks() as demo:
     clear.click(lambda: ([], []), None, [chatbot, state])
 
 demo.launch()
-