Update app.py

app.py

@@ -1,82 +1,83 @@
-import gradio as gr
-import os
-import requests
-
-# Load GROQ 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 (Chatbot Personality)
-SYSTEM_PROMPT = """
-You are CodeMentor AI, a friendly and expert programming tutor.
-You help students learn programming concepts clearly and patiently.
-
-Your behavior:
-- Explain concepts step-by-step
-- Use simple language
-- Give Python examples when possible
-- Encourage learning and curiosity
-- Correct mistakes politely
-"""
-
-def query_groq(message, chat_history, temperature):
-    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": message})
-
-    response = requests.post(
-        GROQ_API_URL,
-        headers=headers,
-        json={
-            "model": MODEL_NAME,
-            "messages": messages,
-            "temperature": temperature
-        }
-    )
-
-    if response.status_code == 200:
-        return response.json()["choices"][0]["message"]["content"]
-    else:
-        return f"Error {response.status_code}: {response.text}"
-
-def respond(message, chat_history, temperature):
-    bot_reply = query_groq(message, chat_history, temperature)
-    chat_history.append((message, bot_reply))
-    return "", chat_history
-
-with gr.Blocks() as demo:
-    gr.Markdown("## 💻 CodeMentor AI – Your Programming Tutor")
-
-    chatbot = gr.Chatbot(height=400)
-    state = gr.State([])
-
-    with gr.Row():
-        msg = gr.Textbox(label="Ask a programming question")
-    
-    # UI Improvement (Requirement #4)
-    temperature = gr.Slider(
-        0.1, 1.0, value=0.7, step=0.1,
-        label="Response Creativity Level"
-    )
-
-    with gr.Row():
-        send = gr.Button("Send")
-        clear = gr.Button("Clear Chat")
-
-    send.click(respond, [msg, state, temperature], [msg, chatbot])
-    msg.submit(respond, [msg, state, temperature], [msg, chatbot])
-    clear.click(lambda: ([], []), None, [chatbot, state])
-
-demo.launch()
-
+import gradio as gr
+import os
+import requests
+
+# Load GROQ 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 = "llama-3.1-8b-instant"
+
+
+# System Prompt (Chatbot Personality)
+SYSTEM_PROMPT = """
+You are CodeMentor AI, a friendly and expert programming tutor.
+You help students learn programming concepts clearly and patiently.
+
+Your behavior:
+- Explain concepts step-by-step
+- Use simple language
+- Give Python examples when possible
+- Encourage learning and curiosity
+- Correct mistakes politely
+"""
+
+def query_groq(message, chat_history, temperature):
+    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": message})
+
+    response = requests.post(
+        GROQ_API_URL,
+        headers=headers,
+        json={
+            "model": MODEL_NAME,
+            "messages": messages,
+            "temperature": temperature
+        }
+    )
+
+    if response.status_code == 200:
+        return response.json()["choices"][0]["message"]["content"]
+    else:
+        return f"Error {response.status_code}: {response.text}"
+
+def respond(message, chat_history, temperature):
+    bot_reply = query_groq(message, chat_history, temperature)
+    chat_history.append((message, bot_reply))
+    return "", chat_history
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 💻 CodeMentor AI – Your Programming Tutor")
+
+    chatbot = gr.Chatbot(height=400)
+    state = gr.State([])
+
+    with gr.Row():
+        msg = gr.Textbox(label="Ask a programming question")
+    
+    # UI Improvement (Requirement #4)
+    temperature = gr.Slider(
+        0.1, 1.0, value=0.7, step=0.1,
+        label="Response Creativity Level"
+    )
+
+    with gr.Row():
+        send = gr.Button("Send")
+        clear = gr.Button("Clear Chat")
+
+    send.click(respond, [msg, state, temperature], [msg, chatbot])
+    msg.submit(respond, [msg, state, temperature], [msg, chatbot])
+    clear.click(lambda: ([], []), None, [chatbot, state])
+
+demo.launch()
+