app.py

import streamlit as st
import requests
import os

# Title and instructions
st.set_page_config(page_title="EngGloss", layout="centered")
st.title("📘 EngGloss – Engineering Formula Explainer")
st.write("Enter any engineering formula or equation, and I'll explain it in simple terms.")

# API key and model setup
GROQ_API_KEY = os.getenv("EngGloss")  # Using your actual environment variable name
MODEL_NAME = "llama3-8b-8192"  # Updated model

# Input from user
user_input = st.text_input("Enter an engineering formula (e.g., V = IR):")

# Prompt template
def build_prompt(formula):
    return (
        "You are an expert engineering tutor and technical writer. A user has provided you with an engineering formula.\n\n"
        "Your task is to provide a complete, beginner-friendly explanation of the formula. Follow this structure:\n\n"
        "1. **Explain the formula** in clear, simple language (as if teaching a smart high school or early university student).\n"
        "2. Include:\n"
        "   - What each symbol represents.\n"
        "   - The real-world **meaning and intuition** behind the formula.\n"
        "   - Where and how the formula is commonly used in engineering or science.\n"
        "   - A **step-by-step example** using realistic values.\n"
        "3. Organize the explanation with:\n"
        "   - Headings\n"
        "   - Bullet points\n"
        "   - Equations (plain text or LaTeX-style)\n"
        "   - Short paragraphs\n"
        "4. Avoid jargon unless necessary, and define any technical terms clearly.\n"
        "5. **End with a brief summary** of the formula’s importance.\n\n"
        f"Now explain the following formula:\n\n{formula}"
    )

# Function to call Groq API
def get_explanation(prompt):
    headers = {
        "Authorization": f"Bearer {GROQ_API_KEY}",
        "Content-Type": "application/json"
    }
    payload = {
        "model": MODEL_NAME,
        "messages": [
            {"role": "user", "content": prompt}
        ]
    }

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

    if response.status_code == 200:
        return response.json()["choices"][0]["message"]["content"]
    else:
        return f"❌ Error: {response.status_code}\n{response.text}"

# Output area
if user_input:
    if GROQ_API_KEY is None:
        st.error("API key not found. Please set the 'EngGloss' environment variable.")
    else:
        with st.spinner("Analyzing and generating explanation..."):
            prompt = build_prompt(user_input)
            result = get_explanation(prompt)
            st.markdown("### 🧠 Explanation")
            st.write(result)