Update app.py

app.py

@@ -285,13 +285,12 @@ def demo():
         collection_name = gr.State()
         
         gr.Markdown(
-        """<center><h2>NCTC - PDF-based chatbot</center></h2>
+        """<center><h2>PDF GENIE CHATBOT</center></h2>
         <h3>Ask any questions about your PDF documents</h3>""")
         gr.Markdown(
         """<b>Note:</b> This AI assistant, using Langchain and open-source LLMs, performs retrieval-augmented generation (RAG) from your PDF documents. \
-        The user interface explicitely shows multiple steps to help understand the RAG workflow. 
-        This chatbot takes past questions into account when generating answers (via conversational memory), and includes document references for clarity purposes.<br>
-        <br><b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps and LLM models used below (free inference endpoints) can take some time to generate a reply.
+        This space created by C.JOSHWA of 9 th std from GHS. SUTHUKENY for making CBSE syllabus easy for students.<br>
+        <br><b>Warning:</b> This space can take some time to generate a reply.
         """)
         
         with gr.Tab("Step 1 - Upload PDF"):