Update app.py

app.py

@@ -1,8 +1,5 @@
-import streamlit as st
+import gradio as gr
 import requests
-import json
-
-st.set_page_config(page_title="EngGloss – Engineering Term Explainer")
 
 # -------------------------
 # EngGloss System Prompt
@@ -42,43 +39,31 @@ USER INPUT: The engineering term to explain.
 """
 
 # -------------------------
-# Streamlit UI
+# Function to call Groq API
 # -------------------------
-st.title("EngGloss")
-st.write("Enter any engineering term and get a simple structured explanation.")
-
-# Groq API key input
-api_key = st.text_input("Enter your Groq API Key", type="password")
-
-term = st.text_input("Engineering Term")
-
-if st.button("Explain"):
+def explain_term(api_key, term):
     if not api_key:
-        st.error("Please enter your Groq API key.")
-    elif not term.strip():
-        st.error("Please enter an engineering term.")
-    else:
-        with st.spinner("Generating explanation..."):
-            url = "https://api.groq.com/openai/v1/chat/completions"
-
-            headers = {
-                "Authorization": f"Bearer {api_key}",
-                "Content-Type": "application/json"
-            }
-
-            payload = {
-                "model": "llama3-70b-8192",
-                "messages": [
-                    {"role": "system", "content": SYSTEM_PROMPT},
-                    {"role": "user", "content": term}
-                ],
-                "temperature": 0.2
-            }
-
-            response = requests.post(url, headers=headers, json=payload)
-
-            if response.status_code == 200:
-                result = response.json()["choices"][0]["message"]["content"]
-                st.markdown(result)
-            else:
-                st.error(f"Error: {response.text}")
+        return "Error: Please provide your Groq API key."
+    if not term or not term.strip():
+        return "Error: Please enter an engineering term."
+
+    url = "https://api.groq.com/openai/v1/chat/completions"
+
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json"
+    }
+
+    payload = {
+        "model": "llama3-70b-8192",
+        "messages": [
+            {"role": "system", "content": SYSTEM_PROMPT},
+            {"role": "user", "content": term}
+        ],
+        "temperature": 0.2
+    }
+
+    response = requests.post(url, headers=headers, json=payload)
+
+    if response.status_code == 200:
+        return response.json()["choices"][0]["message"]["content"]