Update app.py

app.py

@@ -183,28 +183,9 @@ def chat_gen(message, history=[], return_buffer=True):
 # for response in chat_gen(test_question, return_buffer=False):
 #     print(response, end='')
 
-summary_paragraph = (
-    "The **NVIDIA AI Document Chatbot** is an application designed to facilitate user inquiries "
-    "about specific documents by providing accurate, context-aware responses. It utilizes the "
-    "**NVIDIAEmbeddings (NV-Embed-QA)** model to extract vector representations of text for efficient "
-    "information retrieval and the **Mistral-8x7B Instruct** model to generate conversational answers "
-    "based on the user's questions. The application processes academic papers using `ArxivLoader`, "
-    "segments them into manageable text chunks, and stores them in a FAISS vector store for quick access. "
-    "It also maintains a history of user interactions to enhance response accuracy over time. "
-    "For more detailed information, please refer to the [README.md file](sandbox:/mnt/data/README.md)."
-)
+chatbot = gr.Chatbot(value = [[None, initial_msg]])
+demo = gr.ChatInterface(chat_gen, chatbot=chatbot).queue()
 
-# Create the Gradio interface with the title and the summary
-with gr.Blocks() as demo:
-    gr.HTML("<h1><center>Document AI Agent</center></h1>")  # Centered title
-    gr.Markdown(summary_paragraph)  # Add the summary paragraph below the title
-    
-    chatbot = gr.Chatbot(value=[[None, initial_msg]])
-    
-    # Chat interface
-    chat_interface = gr.ChatInterface(chat_gen, chatbot=chatbot).queue()
-
-# Launch the demo
 try:
     demo.launch(debug=True, share=False, show_api=False)
     demo.close()