app.py

import streamlit as st
import requests
import os

# Set your Groq API Key
GROQ_API_KEY = os.getenv("GROQ_API_KEY")  # Set this in Hugging Face Secrets

# Groq API endpoint
API_URL = "https://api.groq.com/openai/v1/chat/completions"

# Define the assistant's behavior
SYSTEM_PROMPT = """
You are a mechanical failure diagnosis assistant.
Based on user input describing machine issues (like noises, overheating, etc.), you must:
1. Identify possible causes.
2. Recommend fixes or checks.
3. List basic tools or methods needed.

Keep answers clear, concise, and helpful for technicians and engineers.
"""

# Streamlit UI
st.set_page_config(page_title="Failure Diagnosis Bot", page_icon="🛠️")
st.title("🛠️ Mechanical Failure Diagnosis Bot")
st.markdown("Describe the issue you're facing with any mechanical system (e.g., gear noise, motor overheating).")

user_query = st.text_input("🔍 Describe your machine problem:")

if st.button("Diagnose") and user_query:
    with st.spinner("Analyzing..."):
        headers = {
            "Authorization": f"Bearer {GROQ_API_KEY}",
            "Content-Type": "application/json"
        }

        data = {
            "model": "llama3-8b-8192",
            "messages": [
                {"role": "system", "content": SYSTEM_PROMPT},
                {"role": "user", "content": user_query}
            ]
        }

        response = requests.post(API_URL, headers=headers, json=data)

        if response.status_code == 200:
            reply = response.json()["choices"][0]["message"]["content"]
            st.markdown("### 🧠 Diagnosis Result:")
            st.write(reply)
        else:
            st.error("Failed to get a response from the diagnosis engine. Please try again.")
else:
    st.markdown("Enter a fault description above and click **Diagnose** to begin.")

st.markdown("---")
st.caption("Powered by Groq • Built with ❤️ by EngGloss")