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Create app.py
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app.py
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# GOAL: Building an ai powered chatbot
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# GOAL: Building an AI-powered chatbot using GROQ API
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import gradio as gr
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import requests
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import os
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from dotenv import load_dotenv
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load_dotenv() # Load GROQ_API_KEY from .env
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GROQ_API_KEY = os.getenv("GROQ_API_KEY")
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GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
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MODEL = "llama3-8b-8192" # or "mixtral-8x7b-32768", etc.
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headers = {
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"Authorization": f"Bearer {GROQ_API_KEY}",
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"Content-Type": "application/json"
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}
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# backend: Python
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def echo(message, history):
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messages = [
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{"role": "system", "content": "You are a helpful LLM teacher."},
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{"role": "user", "content": message}
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]
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response = requests.post(
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GROQ_API_URL,
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headers=headers,
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json={
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"model": MODEL,
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"messages": messages
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}
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)
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if response.status_code == 200:
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completion = response.json()
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return completion["choices"][0]["message"]["content"]
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else:
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return f"Error: {response.status_code}\n{response.text}"
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# frontend: Gradio
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demo = gr.ChatInterface(
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fn=echo,
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type="messages",
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examples=[
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"I want to learn about LLMs",
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"What is NLP",
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"What is RAG"
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],
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title="LLM Mentor"
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)
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demo.launch()
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