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app.py

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+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 defines chatbot personality
+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.
+"""
+
+# Build messages safely
+def build_messages(message, chat_history):
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
+    if chat_history is not None:
+        for item in chat_history:
+            if isinstance(item, tuple) and len(item) == 2:
+                user_msg = str(item[0])
+                bot_msg = str(item[1])
+                messages.append({"role": "user", "content": user_msg})
+                messages.append({"role": "assistant", "content": bot_msg})
+    messages.append({"role": "user", "content": str(message)})
+    return messages
+
+# Respond function for Gradio
+def respond(message, chat_history, temperature):
+    # Ensure chat_history is list of tuples
+    safe_history = []
+    if chat_history is not None:
+        for item in chat_history:
+            if isinstance(item, tuple) and len(item) == 2:
+                safe_history.append((str(item[0]), str(item[1])))
+
+    messages = build_messages(message, safe_history)
+
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    response = requests.post(
+        GROQ_API_URL,
+        headers=headers,
+        json={
+            "model": MODEL_NAME,
+            "messages": messages,
+            "temperature": temperature
+        }
+    )
+
+    if response.status_code == 200:
+        bot_reply = response.json()["choices"][0]["message"]["content"]
+    else:
+        bot_reply = f"Error {response.status_code}: {response.text}"
+
+    safe_history.append((str(message), str(bot_reply)))
+    return "", safe_history
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## 💻 Programming Tutor Chatbot (Powered by GROQ)")
+
+    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"
+    )
+    clear = gr.Button("Clear Chat")
+
+    msg.submit(respond, [msg, state, temperature], [msg, chatbot])
+    clear.click(lambda: ([], []), None, [chatbot, state])
+
+demo.launch()

requirements.txt

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+gradio