app.py

import gradio as gr
import requests
import os

# Set your Groq API key (store it as an environment variable or replace directly here)
GROQ_API_KEY = os.getenv("GROQ_API_KEY")

def explain_term(term):
    prompt = f"""
You are EngGloss, an expert AI tutor who explains engineering terms in a clear, structured, and beginner-friendly way. 

When given an engineering term, respond using this exact format and tone:

🔍 Term: {term}

📘 Simple Explanation: Give a short, easy-to-understand explanation suitable for beginners. Avoid technical jargon and keep it clear and friendly.

🧠 Real-World Analogy: Provide a simple, relatable analogy from everyday life that helps make the concept intuitive.

📐 Typical Formula: If a standard formula is associated with the term, include it. Then explain each variable briefly. If no common formula exists, say: “No standard formula is commonly used for this term.”

🏗️ Engineering Applications: List 2–3 fields of engineering where this term is frequently used or applied.

Keep the entire explanation concise, well-organized, and ideally under 150 words. Do not add any extra sections or commentary.
"""

    headers = {
        "Authorization": f"Bearer {GROQ_API_KEY}",
        "Content-Type": "application/json"
    }

    data = {
        "model": "llama3-8b-8192",
        "messages": [{"role": "user", "content": prompt}],
        "temperature": 0.7
    }

    response = requests.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, json=data)
    result = response.json()

    return result["choices"][0]["message"]["content"]

# Gradio Interface
demo = gr.Interface(
    fn=explain_term,
    inputs=gr.Textbox(label="Enter an Engineering Term"),
    outputs=gr.Markdown(label="Explanation"),
    title="EngGloss - Engineering Term Explainer",
    description="Get a beginner-friendly explanation for any engineering term.",
)

if __name__ == "__main__":
    demo.launch()