Update app.py

app.py

@@ -2,33 +2,6 @@ import streamlit as st
 from graphviz import Digraph 
 
 
-st.markdown("""
-# Imperative?
-Torch is more popular since its imperative which is often easier to understand.
-What does imperative mean with respect to programming?
-The open source community is amazing at solving for gaps.  Competition is healthy since frameworks evolve.
-Theano, Keras -> TF and Keras -> Pytorch and GPU libs.
-Early was great, but hard to teach since they define computational graph up front.
-Hard to debug.
-Pytorch was strongest to use normal python.  Everything you know works on GPU when necessary which causes a huge leap in teaching.
-Pytorch is not easy for newcomers or researchers.  API however writes NN in three lines of code using progressive API's
-Fast AI library was critical.
-Are we still limited by python?  Is Swift an alternative?  Torch or TF?  Hard to say.
-    - Vision for tensorflow was good.
-    - Pytorch features interactive computation
-    - TF eager is tentimes slower than pytorch - caution might be dead end.
-    - Look at the code, develop your own perspective.
-    - SWIFT could be layer above GPU and be great.
-
-# GPU Setup Instructions for NVIDIA GPU RTX 3070+
-
-1. Upgrade pip: python.exe -m pip install --upgrade pip
-2. Upgrade torch: C:\Users\aaron>pip install --upgrade torch
-3. Upgrade torchvision: pip install --upgrade torchvision
-4. Upgrade torchaudio: pip install --upgrade torchaudio
-
-""")
-
 st.markdown("""
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 # 🌐 AI Pair Programming