app.py

import gradio as gr
import os
import requests

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 a friendly Data Science Tutor.
You explain data science, machine learning,
statistics, Python, and big data concepts clearly.
"""

def query_groq(chat_history):
    headers = {
        "Authorization": f"Bearer {GROQ_API_KEY}",
        "Content-Type": "application/json"
    }

    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
    messages.extend(chat_history)

    response = requests.post(
        GROQ_API_URL,
        headers=headers,
        json={
            "model": MODEL_NAME,
            "messages": messages,
            "temperature": 0.7
        }
    )

    if response.status_code == 200:
        return response.json()["choices"][0]["message"]["content"]
    else:
        return "❌ Error connecting to GROQ API"

def respond(user_message, chat_history):
    # add user message
    chat_history.append({"role": "user", "content": user_message})

    # get bot reply
    reply = query_groq(chat_history)

    # add assistant reply
    chat_history.append({"role": "assistant", "content": reply})

    return chat_history, chat_history

with gr.Blocks() as demo:
    gr.Markdown("## 📊 Data Science Tutor Chatbot")

    chatbot = gr.Chatbot()
    msg = gr.Textbox(label="Ask your question")
    clear = gr.Button("Clear Chat")

    state = gr.State([])

    msg.submit(respond, [msg, state], [chatbot, state])
    clear.click(lambda: ([], []), None, [chatbot, state])

demo.launch()