Create app.py

app.py

@@ -0,0 +1,29 @@
+import streamlit as st
+from graphviz import Digraph
+
+# Initialize Streamlit app
+st.title("Process Flow Diagram")
+
+# Initialize Graphviz object
+dot = Digraph(format="png")
+dot.attr(rankdir='LR', size='10')
+
+# Add nodes and edges
+dot.node("1", "File Uploader\nConverts Input Files to Text")
+dot.node("2", "Extract 3 Text Chunks\nand Create an Embedding for Each")
+dot.node("3", "Combine Embeddings into\nAI Semantic Index (FAISS)\nand Store as Knowledge Base (KB)")
+dot.node("4", "Add Semantic Search with\nQuestion and Question Embeddings")
+dot.node("5", "Put Query and Document\nEmbeddings onto Chat Memory\non a Language Chain then Run Inference")
+dot.node("6", "Store Inference Output\nand Show to User")
+dot.node("7", "Score Rouge LCS to Define\nLongest Continuous Match with\nOriginal Document")
+dot.node("8", "Give User a Way to Upvote 👍\nor Downvote 👎\nand Name Files for Each Step")
+
+# Define edges
+dot.edges(["12", "23", "34", "45", "56", "67", "78"])
+
+# Generate and save the diagram
+dot.render(filename="/tmp/process_flow", cleanup=True)
+
+# Display using Streamlit
+st.image("/tmp/process_flow.png")
+