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import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
from io import BytesIO
import base64
import random
import io
import re
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from streamlit_tags import st_tags
from streamlit_vertical_slider import vertical_slider
import pdf_generator
# Set page config
st.set_page_config(
page_title="Pilot Drafting",
page_icon="🛫",
layout="wide",
initial_sidebar_state="collapsed"
)
# Password protection
def check_password():
def password_entered():
if st.session_state["password"] == st.secrets["app_password"]:
st.session_state["password_correct"] = True
del st.session_state["password"]
else:
st.session_state["password_correct"] = False
if "password_correct" not in st.session_state:
st.markdown("\n\n")
st.text_input("Enter the password", type="password", on_change=password_entered, key="password")
st.divider()
st.info("Developed by Milan Mrdenovic © IBM Norway 2024")
return False
elif not st.session_state["password_correct"]:
st.markdown("\n\n")
st.text_input("Enter the password", type="password", on_change=password_entered, key="password")
st.divider()
st.info("Developed by Milan Mrdenovic © IBM Norway 2024")
st.error("😕 Password incorrect")
return False
else:
return True
if not check_password():
st.stop()
# Initialize session state
if 'current_page' not in st.session_state:
st.session_state.current_page = 0
if 'answers' not in st.session_state:
st.session_state.answers = {
'workload_scope': {
'time_commitments': '',
'deadlines': '',
'feature_prioritization': ''
},
'useful_assets': {
'assets': []
},
'pilot_evaluation': {
'metrics': []
}
}
# Define the content for each page
pages = [
{
'title': "Scope a Manageable Workload",
'content': """
Define the scope of your project to ensure a manageable workload. Consider the time commitments, deadlines, and feature prioritization.
""",
'input_key': 'workload_scope',
'input_type': 'custom'
},
{
'title': "Useful Assets and Libraries",
'content': """
Discuss the useful assets and libraries that can be utilized for the project. Consider Langchain, Langflow, ChromaDB, Jupyter Notebooks, etc.
""",
'input_key': 'useful_assets',
'input_type': 'custom'
},
{
'title': "Pilot Evaluation",
'content': """
Plan for the metrics that need to be tracked for the project. Consider queries, token usage, F1 scores, precision, etc.
""",
'input_key': 'pilot_evaluation',
'input_type': 'custom'
},
{
'title': "Generate Evaluation Report",
'content': "You have completed the Pilot Drafting. \nClick the button below to generate and download your PDF report.",
'input_key': None
}
]
st.session_state.pages = pages
# Main Streamlit app
st.title("Pilot Drafting")
# Navigation buttons
col1, col2, col3 = st.columns([1, 2, 1])
with col1:
if st.session_state.current_page > 0:
if st.button("Back"):
st.session_state.current_page -= 1
st.rerun()
with col3:
if st.session_state.current_page < len(pages) - 1:
if st.button("Next", use_container_width=True):
st.session_state.current_page += 1
st.rerun()
# Display current page
current_page = pages[st.session_state.current_page]
st.header(current_page['title'])
with st.expander("Description", expanded=False):
st.markdown(current_page['content'])
# Input fields
if 'input_key' in current_page and current_page['input_key'] is not None:
if current_page['input_key'] == 'workload_scope':
st.subheader("Workload Scope")
col1, col2, col3 = st.columns(3)
with col1:
st.session_state.answers['workload_scope']['time_commitments'] = st.text_area(
"Time Commitments:",
value=st.session_state.answers['workload_scope'].get('time_commitments', ""),
key="time_commitments",
height=150
)
with col2:
st.session_state.answers['workload_scope']['deadlines'] = st.text_area(
"Deadlines:",
value=st.session_state.answers['workload_scope'].get('deadlines', ""),
key="deadlines",
height=150
)
with col3:
st.session_state.answers['workload_scope']['feature_prioritization'] = st.text_area(
"Feature Prioritization:",
value=st.session_state.answers['workload_scope'].get('feature_prioritization', ""),
key="feature_prioritization",
height=150
)
elif current_page['input_key'] == 'useful_assets':
st.subheader("Useful Assets and Libraries")
assets = st_tags(
label='Enter Useful Assets and Libraries:',
text='Press enter to add more',
value=st.session_state.answers['useful_assets'].get('assets', []),
suggestions=[],
maxtags=5,
key='useful_assets'
)
st.session_state.answers['useful_assets']['assets'] = assets
elif current_page['input_key'] == 'pilot_evaluation':
st.subheader("Pilot Evaluation")
metrics = st_tags(
label='Enter Metrics to Track:',
text='Press enter to add more',
value=st.session_state.answers['pilot_evaluation'].get('metrics', []),
suggestions=[],
maxtags=5,
key='pilot_evaluation'
)
st.session_state.answers['pilot_evaluation']['metrics'] = metrics
# Generate PDF button (only on the last page)
if st.session_state.current_page == len(pages) - 1:
if st.button("Generate and Download PDF", use_container_width=True):
pdf = pdf_generator.generate_pdf(st.session_state)
st.download_button(
label="Download PDF",
data=pdf,
file_name="Pilot_Drafting.pdf",
mime="application/pdf",
use_container_width=True
)
# Display progress
st.progress((st.session_state.current_page + 1) / len(pages))
st.divider() |