app.py

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")