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| from dotenv import load_dotenv | |
| import os | |
| import streamlit as st | |
| from streamlit_option_menu import option_menu | |
| import pandas as pd | |
| import base64 | |
| from Functions import RFPProcessor | |
| # from localStoragePy import localStoragePy | |
| from Utils import export,clear_rfp_data | |
| # from Login_and_email import * | |
| # localStorage = localStoragePy("RFP", "json") | |
| # Initialize session states | |
| if "generated" not in st.session_state: | |
| st.session_state["generated"] = [] | |
| if "past" not in st.session_state: | |
| st.session_state["past"] = [] | |
| if "input" not in st.session_state: | |
| st.session_state["input"] = "" | |
| if "vectorstore" not in st.session_state: | |
| st.session_state["vectorstore"] = None | |
| if "rfp_details" not in st.session_state: | |
| st.session_state["rfp_details"] = "" | |
| if "is_data_processed" not in st.session_state: | |
| st.session_state["is_data_processed"] = False | |
| if "user_stories" not in st.session_state: | |
| st.session_state["user_stories"] = "" | |
| if "user_stories_data" not in st.session_state: | |
| st.session_state["user_stories_data"] = [] | |
| if "user_stories_json" not in st.session_state: | |
| st.session_state["user_stories_json"] = {} | |
| if "is_user_stories_created" not in st.session_state: | |
| st.session_state["is_user_stories_created"] = False | |
| if "rfp_summary" not in st.session_state: | |
| st.session_state["rfp_summary"] = "" | |
| if "estimation_data" not in st.session_state: | |
| st.session_state["estimation_data"] = [] | |
| if "is_estimation_data_created" not in st.session_state: | |
| st.session_state["is_estimation_data_created"] = False | |
| def main(): | |
| function = RFPProcessor() | |
| if "input" not in st.session_state: | |
| st.session_state["input"] = "" | |
| with st.sidebar: | |
| menu_choice = option_menu( | |
| menu_title="RFPStoryCraft", | |
| options=["Home", "RFP Bot", "User Stories", "Summary", "Estimations"], | |
| icons=["house", "list-task", "book", "book", "list-task"], | |
| ) | |
| if st.session_state["is_data_processed"] == True: | |
| st.button("Clear RFP Data", on_click=clear_rfp_data) | |
| # if localStorage.getItem("email"): | |
| # st.button("Log out", on_click=lambda: log_out_user(localStorage)) | |
| if menu_choice == "Home": | |
| with st.form("my_form"): | |
| project_name = st.text_input( | |
| "Project Name", | |
| key="Project Name", | |
| type="default", | |
| placeholder="Project Name", | |
| ) | |
| file = st.file_uploader("Document", type="pdf") | |
| submitted = st.form_submit_button("Process Data") | |
| if submitted: | |
| if project_name and file: | |
| function.process_rfp_data(project_name, file) | |
| else: | |
| st.warning( | |
| "project_name and file are required to create create stories", | |
| icon="⚠️", | |
| ) | |
| if menu_choice == "RFP Bot": | |
| if st.session_state["is_data_processed"] == True: | |
| st.title(" RFP Chatbot ") | |
| st.subheader(" Powered by Coffeebeans") | |
| st.text_input( | |
| "You: ", | |
| st.session_state["input"], | |
| key="input", | |
| placeholder="Your AI assistant here! Ask me Queries related to RFP", | |
| on_change=function.genrate_bot_result(), | |
| label_visibility="hidden", | |
| ) | |
| with st.container(): | |
| for i in range(len(st.session_state["generated"]) - 1, -1, -1): | |
| st.success(st.session_state["generated"][i], icon="🤖") | |
| st.info(st.session_state["past"][i], icon="🧐") | |
| else: | |
| st.warning("Plesase Process RFP Details to access this feature", icon="⚠️") | |
| if menu_choice == "User Stories": | |
| if st.session_state["is_data_processed"] == True: | |
| st.title("User Stories") | |
| st.button( | |
| "Genrate User Stories", | |
| type="primary", | |
| on_click=function.genrate_user_stories, | |
| ) | |
| if st.session_state["is_user_stories_created"] == True: | |
| st.button("Export Stories", on_click=lambda: export(st.session_state["user_stories_data"])) | |
| with st.container(): | |
| df = pd.DataFrame(st.session_state["user_stories_data"]) | |
| st.table(df) | |
| else: | |
| st.warning("Plesase Process RFP Details to access this feature", icon="⚠️") | |
| if menu_choice == "Summary": | |
| if st.session_state["is_data_processed"] == True: | |
| st.title("Summary") | |
| with st.container(): | |
| st.markdown(st.session_state["rfp_summary"]) | |
| else: | |
| st.warning("Plesase Process RFP Details to access this feature", icon="⚠️") | |
| if menu_choice == "Estimations": | |
| if st.session_state["is_data_processed"] == True: | |
| st.title("Estimations") | |
| senior_developers = st.text_input( | |
| label="Number of Senior Developers", | |
| placeholder="Enter here....", | |
| ) | |
| junior_developers = st.text_input( | |
| label="Number of Junior Developers", | |
| placeholder="Enter here...", | |
| ) | |
| tech_leads = st.text_input( | |
| label="Number of Tech Leads", | |
| placeholder="Enter here....", | |
| ) | |
| if senior_developers and junior_developers and tech_leads and st.session_state["is_user_stories_created"] == True: | |
| st.button( | |
| "Generate Estimations", | |
| on_click=lambda: function.generate_estimations(tech_leads, senior_developers, junior_developers), | |
| ) | |
| if st.session_state["is_estimation_data_created"] == True: | |
| if st.session_state["is_estimation_data_created"] == True: | |
| st.button("Export Stories", on_click = lambda: export(st.session_state["estimation_data"])) | |
| with st.container(): | |
| df = pd.DataFrame(st.session_state["estimation_data"]) | |
| st.table(df) | |
| else: | |
| st.warning("Plesase Process RFP Details to access this feature", icon="⚠️") | |
| if __name__ == "__main__": | |
| # if localStorage.getItem("email"): | |
| main() | |
| # else: | |
| # authenticate(localStorage) | |