app.py

import os
import uuid
from pathlib import Path

from llm_manager.llm_parser import LlmParser
from prompts.prompts_manager import PromptsManager

from repository.repository import get_repository
from repository.repository_abc import ModelRoles, Model
from form.form import build_form_data_from_answers, write_pdf_form

import streamlit as st

user_msg = "Please describe what you need to do. To get the best results try to answer all the following questions:"

def check_for_missing_answers(parsed_questions: dict[int, str]):
 return [k for k in parsed_questions if parsed_questions[k] is None]


def ask_again(missing_questions: list[int], user_questions: list[str], parsed_questions: dict[int, str]):
 for id_ in missing_questions:
 new_answer = input(f"I could not find the answer to this question: {user_questions[id_].lower()}")
 parsed_questions[id_] = new_answer


def use_command_line():
 prompts_manager = PromptsManager()
 user_prompt = input(f"{user_msg}\n{'\n'.join(prompts_manager.questions)}\n\n>")

 repository = get_repository("intel_npu", Model("meta-llama/Meta-Llama-3-8B-Instruct",
 ModelRoles("system", "user", "assistant")),
 prompts_manager.system_prompt, Path("llm_log.txt"))
 repository.init()
 # repository.send_prompt(prompts_manager.ingest_user_answers(user_prompt))
 answer = repository.send_prompt(prompts_manager.verify_user_input_prompt(user_prompt))
 answers = LlmParser.parse_verification_prompt_answers(answer['content'])

 missing_answers = check_for_missing_answers(answers)
 while missing_answers:
 ask_again(missing_answers, prompts_manager.questions, answers)
 missing_answers = check_for_missing_answers(answers)
 answer = repository.send_prompt(prompts_manager.get_work_category(answers[1]))
 categories = LlmParser.parse_get_categories_answer(answer['content'])

 form_data = build_form_data_from_answers(answers, categories, f"{Path(__file__, "..", "signature.png")}")
 write_pdf_form(form_data, Path("signed_form1.pdf"))


def update_answer (answers, missing_answer):
 answers[missing_answer] = getattr(st.session_state, f"ma_{missing_answer}")


def use_streamlit():
 pm = PromptsManager()
 help_ = f"{user_msg}\n\n{'\n'.join(pm.questions)}"
 repository = get_repository("ondemand", Model("ondemand-gpt-3.5-turbo", ModelRoles("system", "user", "assistant")))
 if not st.session_state.get("step"):
 with st.form("Please describe your request"):
 user_input = st.text_area("Your input", height=700, label_visibility="hidden", placeholder=help_, help=help_)
 signature = st.file_uploader("Your signature", key="file_upload")
 st.session_state["signature"] = signature
 st.session_state["session_id"] = str(uuid.uuid4())
 button = st.form_submit_button()

 if button:
 llama3 = "meta-llama/Meta-Llama-3-8B-Instruct"
 # repository = get_repository("intel_npu", Model(llama3,
 # ModelRoles("system", "user", "assistant")),
 # pm.system_prompt, Path("llm_log.txt"))
 st.session_state["step"] = "parsing_answers"
 if st.session_state.get("step") == "parsing_answers":
 with st.status("initialising LLM"):
 repository.init()
 with st.status("waiting for LLM"):
 repository.send_prompt(pm.ingest_user_answers(user_input))
 answer = repository.send_prompt(pm.verify_user_input_prompt(user_input))
 with st.status("Checking for missing answers"):
 st.session_state["answers"] = LlmParser.parse_verification_prompt_answers(answer['content'])

 st.session_state["missing_answers"] = check_for_missing_answers(st.session_state["answers"])
 if not st.session_state.get("missing_answers"):
 st.session_state["step"] = "check_category"
 else:
 st.session_state["step"] = "ask_again"

 if st.session_state.get("step") == "ask_again":
 with st.form("form1"):
 for ma in st.session_state["missing_answers"]:
 st.text_input(pm.questions[ma].lower(), key=ma)
 submitted = st.form_submit_button("Submit answers")
 if submitted:
 st.session_state["step"] = "check_category"
 for ma in st.session_state["missing_answers"]:
 st.session_state["answers"][ma] = st.session_state[ma]

 if st.session_state.get("step") == "check_category":
 with st.status("finding the work categories applicable to your work"):
 answer = repository.send_prompt(pm.get_work_category(st.session_state["answers"][1]))
 categories = LlmParser.parse_get_categories_answer(answer['content'])

 with st.status("categories found, creating PDF form"):

 form_filename = f"{st.session_state["session_id"]}_form.pdf"
 st.session_state["form_filename"] = form_filename
 form_data = build_form_data_from_answers(st.session_state["answers"], categories,
 st.session_state.get("signature"))
 write_pdf_form(form_data, Path(form_filename))
 st.session_state["step"] = "form_created"
 if st.session_state.get("step") == "form_created":
 with open(Path(st.session_state["form_filename"]), "rb") as form:
 st.download_button("download form", form.read(), mime="application/pdf")
 start_over_button = st.button("Start over")
 if start_over_button:
 del st.session_state["step"]
 os.unlink(st.session_state["form_filename"])


use_streamlit()
#use_command_line()