Create app.py

app.py

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+import streamlit as st
+import os
+from groq import Groq
+
+# --- Page Config ---
+st.set_page_config(
+    page_title="EngGloss | AI Engineering Tutor",
+    page_icon="⚙️",
+    layout="centered"
+)
+
+# --- Header ---
+st.title("⚙️ EngGloss")
+st.caption("Enter an engineering term below to get a beginner-friendly explanation.")
+
+# --- API Setup ---
+# Tries to get the API key from Streamlit Secrets (Best for Hugging Face)
+# If not found, tries to get it from environment variables (Best for Local)
+api_key = st.secrets.get("GROQ_API_KEY") or os.getenv("GROQ_API_KEY")
+
+if not api_key:
+    st.error("⚠️ Groq API Key not found!")
+    st.info("If you are running this locally, create a .env file. If on Hugging Face, add GROQ_API_KEY to your Space Secrets.")
+    st.stop()
+
+client = Groq(api_key=api_key)
+
+# --- The Prompt Template ---
+system_prompt = """
+You are EngGloss, an expert AI engineering tutor. Your goal is to explain technical engineering terms to students and beginners in a way that is structured, strictly factual, yet easy to understand.
+
+When given a term, you must output the response in the following Markdown format:
+
+### 📖 Term: <The Term>
+
+**💡 Simple Explanation:**
+<A concise, jargon-free definition (2-3 sentences max). Imagine explaining this to a first-year student.>
+
+**🍎 Real-World Analogy:**
+<An analogy using everyday objects (like water, cars, cooking, or sports) to explain the concept.>
+
+**➗ Typical Formula:**
+<Display the core formula using LaTeX formatting (e.g., $F=ma$). If no formula exists, write "No standard formula." Brief bullet points explaining the variables.>
+
+**⚙️ Engineering Applications:**
+<List 2-3 specific engineering fields where this is used (e.g., Civil Engineering, Avionics).>
+
+Constraint: If the user input is NOT an engineering or scientific term, politely refuse and ask for a valid technical term.
+"""
+
+# --- UI & Logic ---
+term = st.text_input("Enter a term (e.g., Thermodynamics, Torque, Reynolds Number):")
+
+if st.button("Explain Term", type="primary"):
+    if not term:
+        st.warning("Please enter a term first.")
+    else:
+        try:
+            with st.spinner(f"EngGloss is analyzing '{term}'..."):
+                chat_completion = client.chat.completions.create(
+                    messages=[
+                        {
+                            "role": "system",
+                            "content": system_prompt,
+                        },
+                        {
+                            "role": "user",
+                            "content": term,
+                        }
+                    ],
+                    model="llama3-8b-8192", # Fast and efficient model
+                    temperature=0.5,        # Low temp for factual accuracy
+                    max_tokens=500,
+                )
+
+                response = chat_completion.choices[0].message.content
+                
+                # Create a nice container for the result
+                st.markdown("---")
+                st.markdown(response)
+
+        except Exception as e:
+            st.error(f"An error occurred: {e}")
+
+# --- Footer ---
+st.markdown("---")
+st.markdown("Build with [Groq](https://groq.com) & [Streamlit](https://streamlit.io)")