Create app.py

app.py

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+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")