app.py

import streamlit as st
from transformers import pipeline

# Set up the Hugging Face model pipeline (text generation or QA)
st.title("🤖📟 Arduino Expert Chatbot")
st.markdown("Get help with Arduino code, circuit diagrams, and projects.")

# Load the model (e.g., 'mistralai/Mixtral-8x7B-Instruct-v0.1' or any suitable)
@st.cache_resource
def load_model():
    return pipeline("text-generation", model="mistralai/Mixtral-8x7B-Instruct-v0.1")

model = load_model()

# User input
query = st.text_area("Ask your Arduino question here 👇", height=150)

if st.button("Get Answer"):
    if query:
        with st.spinner("Thinking... 🤖"):
            response = model(query, max_length=512, do_sample=True, temperature=0.7)
            st.success(response[0]['generated_text'])
    else:
        st.warning("Please enter a question about your Arduino project.")

# Footer
st.markdown("---")
st.markdown("Made with ❤️ using Hugging Face and Streamlit")