Update app.py

app.py

@@ -1,54 +1,32 @@
-import gradio as gr
 import os
 import requests
+import gradio as gr
 
-# API setup
-GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
-GROQ_API_URL = "https://api.groq.com/v1/chat/completions"  # Latest URL
-MODEL_NAME = "llama3-8b-8192"
-
-SYSTEM_PROMPT = "You are a Programming Tutor. Explain programming concepts clearly and concisely."
-
-def respond(user_input, chat_history, temperature):
-    # Convert Gradio history into list of dicts for GROQ
-    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
-    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)})
+# Get API key from environment variable
+API_KEY = os.environ.get("GROQ_API_KEY")
+API_URL = "https://api.groq.com/openai/v1/chat/completions"
 
-    # Payload
-    payload = {
-        "model": MODEL_NAME,
-        "messages": messages,
-        "temperature": float(temperature)
-    }
-
-    # POST request
+# Define a function to call the Groq API
+def query_groq(prompt):
     headers = {
-        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Authorization": f"Bearer {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 {r.status_code}: {r.text}"
 
-    new_history = (chat_history or []) + [(user_input, bot_reply)]
-    return "", new_history
+    data = {
+        "model": "llama3-8b-8192",
+        "messages": [
+            {"role": "system", "content": "You are an expert Programming Tutor."},
+            {"role": "user", "content": prompt}
+        ]
+    }
 
-# Gradio UI
-with gr.Blocks() as demo:
-    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)
-    clear = gr.Button("Clear Chat")
-    msg.submit(respond, [msg, state, temperature], [msg, chatbot])
-    clear.click(lambda: ([], []), None, [chatbot, state])
+    response = requests.post(API_URL, headers=headers, json=data)
+    if response.status_code == 200:
+        return response.json()["choices"][0]["message"]["content"]
+    else:
+        return f"Error: {response.status_code} - {response.text}"
 
-demo.launch()
+# Gradio interface
+iface = gr.Interface(fn=query_groq, inputs="text", outputs="text", title="Groq Chat")
+iface.launch()