Update app.py

app.py

@@ -10,11 +10,9 @@ from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain_community.vectorstores import FAISS
 
 # --- 1. SETUP & API KEYS ---
-# Hugging Face uses os.getenv to read secrets
 GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 client = Groq(api_key=GROQ_API_KEY)
 
-# Add your links here
 GDRIVE_LINKS = [
     "https://drive.google.com/file/d/12bS7b-Q3qdbnwCRcTynXjMj1IyKFzBJl/view?usp=sharing"
 ]
@@ -79,16 +77,18 @@ footer {visibility: hidden}
 #chatbot-container { border-radius: 12px; box-shadow: 0 2px 10px rgba(0,0,0,0.05); }
 """
 
-with gr.Blocks(theme=gr.themes.Soft(primary_hue="indigo"), css=custom_css) as demo:
-    gr.Markdown("# 📑 Enterprise Knowledge Chat")
+# Theme and CSS move to launch() or can be defined here if using newer syntax
+with gr.Blocks() as demo:
+    gr.Markdown("# 📑 Intellect-Doc AI")
     gr.Markdown("Ask questions based on your specialized document library.")
     
+    # Removed type="messages" as it's now default
     chatbot = gr.ChatInterface(
         fn=respond,
         chatbot=gr.Chatbot(height=550, elem_id="chatbot-container"),
-        textbox=gr.Textbox(placeholder="Ask me anything...", container=False, scale=7),
-        type="messages"
+        textbox=gr.Textbox(placeholder="Ask me anything...", container=False, scale=7)
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    # Theme and CSS applied here to fix the UserWarning
+    demo.launch(theme=gr.themes.Soft(primary_hue="indigo"), css=custom_css)