doczyai-pipelines/archive/streamlit_multipage/Interface_1.py

import os
import streamlit as st
from streamlit_extras.add_vertical_space import add_vertical_space
import pandas as pd
from datetime import datetime
import time
import constants

if "uploading" not in st.session_state:
    st.session_state.uploading = False
if "upload_key" not in st.session_state:
    st.session_state.upload_key = 0
if "file_list" not in st.session_state:
    st.session_state.file_list = []
if "show_batchID" not in st.session_state:
    st.session_state.show_batchID = False
if "numFiles" not in st.session_state:
    st.session_state.numFiles = 0

st.set_page_config(layout="wide")
# # # Sidebar contents
with st.sidebar:
    st.title("Doczy.AI ™")
    st.markdown(
        """
    ## About
    Doczy.ai™ is an advanced AI-powered platform designed to streamline the management of healthcare contracts and optimize claims processing. Using Optical Character Recognition (OCR), Natural Language Processing (NLP) and Generative AI, Doczy.ai™ transforms unstructured, complex contract documents into structured data, enabling accurate extraction of key terms such as contract terms, reimbursement rates and payment methodologies. By eliminating manual errors, reducing overpayments, and ensuring contract configurations are correct, Doczy.ai™ helps healthcare payers save time and money while improving overall operational efficiency.

    """
    )
    add_vertical_space(15)
    # st.write("Doczy")

# AARETE LOGO
x, y, z = st.columns([15, 2, 15])
with y:
    st.image("aaretelogo.png")

hide_img_fs = """
<style>
button[title="View fullscreen"]{
    visibility: hidden;}
</style>
"""
st.markdown(hide_img_fs, unsafe_allow_html=True)

_, c1 = st.columns([5, 1])
st.session_state["user_info"] = {
    "mail": "piragavarapu@aarete.com",
    "displayName": "Priya Iragavarapu",
}
try:
    c1.write(f"User: **{st.session_state.user_info['displayName']}**")
    user_mail = st.session_state.user_info["mail"]
except KeyError as e:
    st.write("Session Expired.")
    st.stop()

client_row = st.columns([0.1, 0.8])
with client_row[0]:
    st.write("**Client Name**")
with client_row[1]:
    client = st.selectbox(
        "Client Name", (constants.client_list), label_visibility="collapsed", index=None
    )

file_row = st.columns([0.1, 0.8])
with file_row[0]:
    st.write("**Upload Files**")
with file_row[1]:
    file_list = st.file_uploader(
        "Upload",
        type=["docx", "tiff", "pdf"],
        accept_multiple_files=True,
        label_visibility="collapsed",
        help="Only PDF, TIFF and DOCX file formats are supported.",
        disabled=st.session_state.uploading,
        key=st.session_state.upload_key,
    )

add_vertical_space(2)
df = pd.DataFrame(columns=["Contract Name"])
df["Contract Name"] = file_list
file_names: list[str] = []
buttons = st.columns([0.4, 0.4, 0.2])


def set_uploading_state():
    if not client == None and not len(file_list) == 0:
        st.session_state.file_list = file_list
        st.session_state.upload_key += 1
        st.session_state.uploading = True


def save_uploaded_files(uploaded_files, save_path):
    try:
        if not os.path.exists(save_path):
            os.makedirs(save_path)
        for uploaded_file in uploaded_files:
            with open(os.path.join(save_path, uploaded_file.name), "wb") as f:
                f.write(uploaded_file.getbuffer())
        return True
    except Exception as e:
        st.error(f"Error saving files: {e}")
        return False


with buttons[1]:
    if st.button("Create Batch", on_click=set_uploading_state):
        file_list = st.session_state.file_list
        if client == None:
            st.error("No Client Name Selected.")
        elif len(file_list) == 0:
            st.error("No Files Selected.")
        else:
            with st.spinner("Running..."):
                time.sleep(2)
                st.session_state.numFiles = len(file_list)
                st.session_state.uploading = False
                st.session_state.show_batchID = True
                st.rerun()

    if st.session_state.show_batchID:
        st.write(f"{st.session_state.numFiles} files uploaded successfully!")
        # st.session_state.file_list = []

add_vertical_space(1)

df = pd.DataFrame(columns=["Contract Name", "Run Flag"])

df["Contract Name"] = [file.name for file in st.session_state.file_list]
# df['Contract Name'] = st.session_state.file_list
df["Run Flag"] = True

dir_path = os.path.dirname(os.path.realpath(__file__))
print(f"DEBUGGING: PWD= {dir_path}")
df.to_csv("temp1.csv", index=False)

add_vertical_space(1)
df2 = pd.read_csv("temp1.csv")
edited_df = st.data_editor(df2)

edited_df["REQUEST_USER"] = user_mail
edited_df["LATEST_FLAG BOOLEAN"] = True
edited_df["PIPELINE_KICKOFF_DATETIME"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
edited_df["REQUEST_DATETIME"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")


@st.cache_data
def convert_df(df):
    return df.to_csv(index=False).encode("utf-8")


csv = convert_df(edited_df)

additional_info = pd.DataFrame(
    columns=["CLIENT_NAME", "REQUEST_USERNAME", "REQUEST_DATETIME"]
)
additional_info.loc[0] = [
    client,
    st.session_state.user_info["mail"],
    datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
]
st.write(additional_info)

buttons = st.columns([0.8, 0.2])
with buttons[0]:
    st.download_button(
        "Download Table", csv, "file.csv", "text/csv", key="download-csv"
    )
with buttons[1]:
    if st.button("Run Doczy.AI Pipeline"):
        with st.spinner("Running..."):
            time.sleep(2)
            st.write("Success!")
            st.write("Current processing time for Contract Terms: 1 min")
            st.write("Current processing time for Reimbursement: 10 mins")