Update app.py

app.py

@@ -1,22 +1,22 @@
-# app.py — Gradio chat interface for EvoDecoder with optional RAG (web search)
+# app.py — Gradio interface to chat with EvoDecoder + live web search (RAG)
+
 import gradio as gr
 from generate import generate_response
 
-with gr.Blocks(title="🧠 EvoDecoder Chat with RAG") as app:
-    gr.Markdown("## 🧠 Chat with EvoDecoder — Now with 🔍 Web Context (RAG)")
-    chatbot = gr.Chatbot(label="Chat with Evo", type="messages")
-    msg = gr.Textbox(label="Ask Evo anything...", placeholder="e.g., What is quantum computing?")
-    use_web = gr.Checkbox(label="🔍 Use Web Context (RAG)", value=True)
-    clear = gr.Button("🧹 Clear Chat")
+with gr.Blocks(title="🧠 EvoDecoder — Lightweight Conversational AI") as demo:
+    gr.Markdown("## 🧠 Chat with EvoDecoder — Lightweight Conversational AI with Live Search (RAG)")
+    chatbot = gr.Chatbot(label="Evo Chat", type="messages")
+    msg = gr.Textbox(label="Ask Evo anything...")
+    use_web = gr.Checkbox(label="Use Web Search (RAG)?", value=True)
+    clear = gr.Button("Clear")
 
-    def chat_fn(user_message, history, web_flag):
+    def chat_fn(user_message, chat_history, web_flag):
         response = generate_response(user_message, use_web=web_flag)
-        history = history or []
-        history.append({"role": "user", "content": user_message})
-        history.append({"role": "assistant", "content": response})
-        return history, ""
+        chat_history.append({"role": "user", "content": user_message})
+        chat_history.append({"role": "assistant", "content": response})
+        return "", chat_history
 
-    msg.submit(chat_fn, inputs=[msg, chatbot, use_web], outputs=[chatbot, msg])
-    clear.click(lambda: ([], ""), outputs=[chatbot, msg])
+    msg.submit(chat_fn, [msg, chatbot, use_web], [msg, chatbot])
+    clear.click(lambda: [], None, chatbot)
 
-app.launch()
+demo.launch()