Update app.py

app.py

@@ -1,16 +1,27 @@
 import streamlit as st
-import pandas as pd
-from services.multiapp import MultiApp
-from functools import partial
-from pages import ChatPDF_Ingestion, ChatPDF_Reader, Intelligent_Chatbot, Patent_Ingestion, Patent_Search, Prompt_Engineer, About
 
 
-app = MultiApp()
-app.add_app('About', About.app)
-app.add_app('ChatPDF Ingestion', ChatPDF_Ingestion.app)
-app.add_app('ChatPDF Reader', Intelligent_Chatbot.app)
-app.add_app('Intelligent Chatbot', Intelligent_Chatbot.app)
-app.add_app('Patent Ingestion', Patent_Ingestion.app)
-app.add_app('Patent Search', Patent_Search.app)
-app.add_app('Prompt Engineer', Prompt_Engineer.app)
-app.run()
+
+st.set_page_config(page_title="About")
+
+st.write("# Welcome to PatentGuru! 👋")
+st.sidebar.success("Select a demo above")
+
+st.markdown(
+    """
+    PatentGuru is an patent search assistant built specifically for
+    building patents on any subject. The project uses data from Google patents covering a gamut of 1.3 mn granted patents
+    across all categories
+    **👈 Select a demo from the dropdown on the left** to see some examples
+    of what PatentGuru can do!
+    ### Want to learn more about patents?
+    - Check out [United States Patent and Trademark office](https://www.uspto.gov/)
+    - Jump into the Open Source Documentation that was used for embedding [AI-Growth-Lab](https://huggingface.co/AI-Growth-Lab/PatentSBERTa)
+    - Ask a question in our [community
+        forums](https://discuss.streamlit.io)
+    ### See more on tensor flow datasets
+    - Use a tensor flow dataset to [analyze the patent categorization and abstract
+        Dataset](hhttps://www.tensorflow.org/datasets/catalog/big_patent)
+    - Explore a [European Patent Office](https://www.epo.org/en)
+"""
+    )