Update app.py

app.py

@@ -2,15 +2,35 @@ import gradio as gr
 import matplotlib
 matplotlib.use('Agg')  # Set Agg backend to avoid Qt issues
 import matplotlib.pyplot as plt
+
+# ✅ LLM microservice integration
+import requests
+from llm_utils import build_prompt  # Already in your repo
+
+EXPLAIN_API_URL = "http://<your-colab-url>/explain"  # 🔁 Replace this with your real URL
+
+def explain_with_llm(latex_str):
+    if not latex_str.strip():
+        return "⚠️ No LaTeX input provided."
+    prompt = build_prompt(latex_str)
+    try:
+        response = requests.post(EXPLAIN_API_URL, json={"latex": prompt})
+        if response.status_code == 200:
+            return response.json().get("explanation", "No explanation returned.")
+        else:
+            return f"❌ Error: {response.status_code} - {response.text}"
+    except Exception as e:
+        return f"❌ Exception: {e}"
+
+# Import UI tabs
 from polynomial import polynomial_tab
 from linear import linear_tab
 from image import image_tab
 
 with gr.Blocks(title="Polynomial and Linear System Solver") as demo:
-    # Create all tabs
-    poly_components = polynomial_tab()
-    linear_components = linear_tab()
-    image_components = image_tab()
+    poly_components = polynomial_tab(explain_with_llm)     # ✅ Pass function
+    linear_components = linear_tab(explain_with_llm)       # ✅ Pass function
+    image_components = image_tab(explain_with_llm)         # ✅ Pass function
 
 if __name__ == "__main__":
-    demo.launch()  # Removed server_port=7860 to allow automatic port selection
+    demo.launch()