Create backup.app.py

backup.app.py

@@ -0,0 +1,31 @@
+# Write a streamlit graphviz python program that creates a graph with two boxes and a line between them.  The first box should have an outline with this information: Source Sequence:  Question{s1,s2,s3}, Context: {sx,sy,sz}, and Answer: {s1,s2,s3}.  The second box should have: Target Sequence: The answer to the question given the context is yes.
+# modify the example not to use filename
+
+# Import required libraries
+import streamlit as st
+import graphviz as gv
+
+# Function to create the Graphviz graph
+def create_graph():
+    g = gv.Digraph('G', engine='dot', format='png')
+    
+    # Create the first box
+    box1_label = 'Source Sequence: Question{s1,s2,s3}\nContext: {sx,sy,sz}\nAnswer: {s1,s2,s3}'
+    g.node('box1', label=box1_label, shape='box', style='rounded')
+    
+    # Create the second box
+    box2_label = 'Target Sequence: The answer to the question given the context is yes.'
+    g.node('box2', label=box2_label, shape='box', style='rounded')
+    
+    # Add the line connecting the two boxes
+    g.edge('box1', 'box2')
+
+    return g
+
+# Create the graph
+graph = create_graph()
+
+# Streamlit app
+st.title("In Context Learning - Prompt Targeting QA Pattern")
+st.subheader("The Question / Answer pattern below can be used in concert with a LLM to do real time in context learning using general intelligence.")
+st.graphviz_chart(graph)