Update app.py

app.py

@@ -2,69 +2,51 @@ import gradio as gr
 import os
 import requests
 
-# Load API key from Hugging Face Secrets
 GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
 GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
 MODEL_NAME = "llama3-8b-8192"
 
-SYSTEM_PROMPT = """
-You are an expert Programming Tutor.
-Explain programming concepts in a simple, beginner-friendly way.
-Provide examples when helpful and keep answers concise.
-"""
+SYSTEM_PROMPT = "You are a Programming Tutor. Answer programming questions clearly."
 
-# Gradio respond function with safe GROQ formatting
 def respond(user_input, chat_history, temperature):
-    # Convert chat history tuples to dicts
-    groq_messages = [{"role": "system", "content": SYSTEM_PROMPT}]
+    # Build messages list properly
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
     for item in chat_history or []:
         if isinstance(item, tuple) and len(item) == 2:
-            user_msg, bot_msg = item
-            groq_messages.append({"role": "user", "content": str(user_msg)})
-            groq_messages.append({"role": "assistant", "content": str(bot_msg)})
-
-    # Append latest user input
-    groq_messages.append({"role": "user", "content": str(user_input)})
-
-    # Call GROQ API
-    headers = {
-        "Authorization": f"Bearer {GROQ_API_KEY}",
-        "Content-Type": "application/json"
-    }
-    payload = {
-        "model": MODEL_NAME,
-        "messages": groq_messages,
-        "temperature": temperature
-    }
+            messages.append({"role": "user", "content": str(item[0])})
+            messages.append({"role": "assistant", "content": str(item[1])})
+    messages.append({"role": "user", "content": str(user_input)})
+
+    # Make API request
+    response = requests.post(
+        GROQ_API_URL,
+        headers={
+            "Authorization": f"Bearer {GROQ_API_KEY}",
+            "Content-Type": "application/json"
+        },
+        json={
+            "model": MODEL_NAME,
+            "messages": messages,
+            "temperature": float(temperature)
+        }
+    )
 
-    response = requests.post(GROQ_API_URL, headers=headers, json=payload)
     if response.status_code == 200:
         bot_reply = response.json()["choices"][0]["message"]["content"]
     else:
         bot_reply = f"Error {response.status_code}: {response.text}"
 
-    # Return Gradio chat history as tuples for display
+    # Return tuples for Gradio display
     new_history = (chat_history or []) + [(user_input, bot_reply)]
     return "", new_history
 
-# Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("## 💻 Programming Tutor Chatbot (Powered by GROQ)")
-
+    gr.Markdown("## Programming Tutor Chatbot")
     chatbot = gr.Chatbot()
     state = gr.State([])
-
-    msg = gr.Textbox(label="Ask a programming question")
-    temperature = gr.Slider(
-        minimum=0.1,
-        maximum=1.0,
-        value=0.7,
-        step=0.1,
-        label="Response Creativity"
-    )
+    msg = gr.Textbox(label="Ask a question")
+    temperature = gr.Slider(0.1, 1.0, value=0.7, step=0.1, label="Creativity")
     clear = gr.Button("Clear Chat")
-
     msg.submit(respond, [msg, state, temperature], [msg, chatbot])
     clear.click(lambda: ([], []), None, [chatbot, state])
-
 demo.launch()