LLM with Groq API

🌐 LLM = Function Call that Returns Text (5–25 min)

💻 Live Coding — AI Doubt Assistant (25–45 min)

# pip install groq
from groq import Groq

client = Groq(api_key="your-groq-api-key")

def ask_ai(question):
    response = client.chat.completions.create(
        model="llama-3.3-70b-versatile",
        messages=[
            {"role": "system", "content": "You are a Python tutor helping beginners. Be concise and use code examples."},
            {"role": "user",   "content": question}
        ]
    )
    return response.choices[0].message.content

# Test it
answer = ask_ai("What is the difference between a list and a tuple in Python?")
print(answer)

# Django view: POST /api/ask/ → returns AI answer
from rest_framework.views import APIView
from rest_framework.response import Response
from groq import Groq

client = Groq(api_key=settings.GROQ_API_KEY)

class AskAIView(APIView):
    def post(self, request):
        question = request.data.get("question", "")
        if not question:
            return Response({"error": "question required"}, status=400)

        response = client.chat.completions.create(
            model="llama-3.3-70b-versatile",
            messages=[
                {"role": "system", "content": "You are a Python tutor. Be concise."},
                {"role": "user",   "content": question}
            ]
        )
        answer = response.choices[0].message.content
        return Response({"answer": answer})