Update app.py

app.py

@@ -2,66 +2,52 @@ import gradio as gr
 import os
 import requests
 
-# Load GROQ API key from Hugging Face Secrets
+# API setup
 GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
-GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
+GROQ_API_URL = "https://api.groq.com/v1/chat/completions"  # Latest URL
 MODEL_NAME = "llama3-8b-8192"
 
-# Single-line SYSTEM_PROMPT (no newlines)
-SYSTEM_PROMPT = "You are a Programming Tutor. Explain programming concepts clearly and concisely with examples if needed."
+SYSTEM_PROMPT = "You are a Programming Tutor. Explain programming concepts clearly and concisely."
 
-# Sanitize chat history into proper dicts
-def sanitize_history(chat_history):
-    sanitized = []
-    for item in chat_history or []:
-        if isinstance(item, tuple) and len(item) == 2:
-            user_msg = str(item[0]) if item[0] is not None else ""
-            bot_msg = str(item[1]) if item[1] is not None else ""
-            sanitized.append({"role": "user", "content": user_msg})
-            sanitized.append({"role": "assistant", "content": bot_msg})
-    return sanitized
-
-# Respond function for Gradio
 def respond(user_input, chat_history, temperature):
-    # Build messages
+    # Convert Gradio history into list of dicts for GROQ
     messages = [{"role": "system", "content": SYSTEM_PROMPT}]
-    messages += sanitize_history(chat_history)
+    for item in chat_history or []:
+        if isinstance(item, tuple) and len(item) == 2:
+            messages.append({"role": "user", "content": str(item[0])})
+            messages.append({"role": "assistant", "content": str(item[1])})
     messages.append({"role": "user", "content": str(user_input)})
 
-    # Call GROQ API
-    headers = {
-        "Authorization": f"Bearer {GROQ_API_KEY}",
-        "Content-Type": "application/json"
-    }
-
+    # Payload
     payload = {
         "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"]
+    # POST request
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+    r = requests.post(GROQ_API_URL, headers=headers, json=payload)
+    
+    if r.status_code == 200:
+        bot_reply = r.json()["choices"][0]["message"]["content"]
     else:
-        bot_reply = f"Error {response.status_code}: {response.text}"
+        bot_reply = f"Error {r.status_code}: {r.text}"
 
-    # Keep Gradio history as tuples for 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(0.1, 1.0, value=0.7, step=0.1, label="Response Creativity")
+    temperature = gr.Slider(0.1, 1.0, value=0.7, step=0.1)
     clear = gr.Button("Clear Chat")
-
     msg.submit(respond, [msg, state, temperature], [msg, chatbot])
     clear.click(lambda: ([], []), None, [chatbot, state])