Update app.py

app.py

@@ -1,17 +1,34 @@
 import gradio as gr
 
+# --- Load your manual file ---
+with open("sierra_manual.txt", "r", encoding="utf-8") as f:
+    manual_text = f.read().lower()
+
 messages = []
 
 def chatbot(user_input):
     global messages
     messages.append(("user", user_input))
-    reply = f"Thanks for your question about: {user_input}\nI’ll check the Sierra manual for you."
+
+    # Search the manual for any words the user typed
+    found = []
+    for word in user_input.lower().split():
+        if word in manual_text:
+            start = manual_text.find(word)
+            snippet = manual_text[start:start+400]  # grab 400 characters around the match
+            found.append(snippet)
+
+    if found:
+        reply = "Here’s what I found in the Sierra manual:\n\n" + "\n---\n".join(found[:2])
+    else:
+        reply = "I couldn’t find that in the Sierra manual."
+
     messages.append(("assistant", reply))
     return messages
 
 with gr.Blocks() as demo:
-    chatbot_ui = gr.Chatbot()
-    msg = gr.Textbox(placeholder="Ask me anything about your Sierra or caravan...")
+    chatbot_ui = gr.Chatbot(type="messages")
+    msg = gr.Textbox(placeholder="Ask about your Sierra…")
     clear = gr.Button("Clear")
 
     def respond(message, chat_history):