Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Set Streamlit page config
+st.set_page_config(page_title="StructuLearn - Structural Tutor", layout="centered")
+
+# Load the Hugging Face model pipeline
+@st.cache_resource
+def load_model():
+    return pipeline("text-generation", model="tiiuae/falcon-7b-instruct", max_length=512)
+
+qa_pipeline = load_model()
+
+# App title
+st.title("🏗️ StructuLearn: Ask About Structural Concepts")
+st.write("This is an AI-powered learning tool for junior structural engineers. Ask any question about structural design, codes, or analysis.")
+
+# User input
+user_question = st.text_input("🧠 What do you want to learn about?", placeholder="e.g. What is buckling in columns?")
+
+if st.button("Get Answer"):
+    if user_question.strip() == "":
+        st.warning("Please enter a question.")
+    else:
+        with st.spinner("Thinking like an engineer..."):
+            response = qa_pipeline(f"Explain like I'm a structural engineering intern: {user_question}")
+            answer = response[0]['generated_text']
+            st.subheader("📘 Explanation")
+            st.write(answer)