Update app.py

app.py

@@ -70,8 +70,9 @@ def respond(albumin, creatinine, glucose, crp, mcv, rdw, alp, wbc, lymphocytes,
         f"- Plasma Viscosity (PV): {pv} mPa·s"
     )
 
-    # ----- Call Groq API -----
-    completion = client.chat.completions.create(
+    try:
+        # --- Query model ---
+        response = client.chat.completions.create(
         model=MODEL_ID,
         messages=[
             {"role": "system", "content": system_message},
@@ -81,10 +82,21 @@ def respond(albumin, creatinine, glucose, crp, mcv, rdw, alp, wbc, lymphocytes,
         max_tokens=2500,
         top_p=0.9,
         stream=False
-    )
+        )
+        
+        # --- Get model reply and convert Markdown → HTML ---
+        reply = response.choices[0].message.content
+        html_output = markdown.markdown(
+            reply,
+            extensions=["tables", "fenced_code", "nl2br"]
+        )
+
+    except Exception as e:
+        html_output = f"<p style='color:red;'>⚠️ Error: {str(e)}</p>"
 
-    return completion.choices[0].message.content
+    return html_output
 
+    
 
 # --- Gradio Interface ---
 with gr.Blocks(title="🧬 Biomarker Medical Insight Chatbot") as demo: