Update app.py

app.py

@@ -25,33 +25,37 @@ all_agents = [
 agent_map = {agent.name: agent for agent in all_agents}
 
 
-# ✅ Function to be called from frontend or Replit
+# ✅ Core response function
 def chat(prompt, selected_agents):
     responses = {}
     for name in selected_agents:
         agent = agent_map.get(name)
         try:
             output = agent.generate([ACPMessage(role="user", content=prompt)])
+            if isinstance(output, list):  # Handle output like [msg]
+                output = output[0]
         except Exception as e:
             output = f"[ERROR: {e}]"
         responses[name] = output
 
-    return [responses]  # ✅ Gradio requires return as a list
+    return [responses]  # ✅ Must return list for Gradio API format
+    # That results in: { "data": [ { "Philosopher": "...", ... } ] }
 
 
-# ✅ Gradio Interface
+# ✅ Interface for direct testing/debugging (optional if using just API)
 iface = gr.Interface(
     fn=chat,
     inputs=[
         gr.Textbox(
             label="Ask Anything",
             lines=4,
-            placeholder="Ask your question here..."
+            placeholder="Ask your question here...",
+            elem_id="chat-input"
         ),
         gr.CheckboxGroup(
             choices=list(agent_map.keys()),
             label="Choose Which Personalities to Ask",
-            value=list(agent_map.keys())  # ✅ All selected by default
+            value=list(agent_map.keys())  # ✅ default: all selected
         )
     ],
     outputs=gr.JSON(label="Responses"),
@@ -87,4 +91,5 @@ iface = gr.Interface(
     """
 )
 
+# ✅ Launch Gradio — allow API call via /run/predict
 iface.launch()