app.py

import gradio as gr
import os
from groq import Groq

# Load API key securely from environment variable
GROQ_API_KEY = os.getenv("Groq_API_Key")

# Initialize Groq client using the SDK
client = Groq(api_key=GROQ_API_KEY)

# System instruction for the bot
SYSTEM_PROMPT = (
    "You are a Construction Material Advisor Bot. Your job is to recommend the best construction materials "
    "for civil engineering projects based on environmental conditions, budget, load requirements, and durability. "
    "Be concise, informative, and explain pros and cons of the materials."
)

# Model name
MODEL_NAME = "llama3-70b-8192"

# Chat function using Groq SDK
def get_material_advice(user_query: str) -> str:
    try:
        chat_completion = client.chat.completions.create(
            model=MODEL_NAME,
            messages=[
                {"role": "system", "content": SYSTEM_PROMPT},
                {"role": "user", "content": user_query},
            ],
            temperature=0.7,
            max_tokens=500,
        )
        response = chat_completion.choices[0].message.content.strip()
        # Convert plain text response to Markdown for better formatting
        formatted_response = f"### 🧱 Material Recommendations\n\n{response}"
        return formatted_response
    except Exception as e:
        return f"Error: {str(e)}"

# Gradio UI
demo = gr.Interface(
    fn=get_material_advice,
    inputs=gr.Textbox(lines=3, placeholder="Ask about construction materials..."),
    outputs=gr.Markdown(),
    title="🧱 Construction Material Advisor Bot",
    description=(
        "Ask questions like 'What is the best material for a coastal bridge?' or "
        "'Suggest budget-friendly wall material for cold regions.'"
    ),
)

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