app2.py

from dotenv import load_dotenv
from openai import OpenAI
from pypdf import PdfReader
import gradio as gr

load_dotenv(override=True)
openai = OpenAI()

# reader = PdfReader("me/KevinZmijewski_Resume_Auto2025.pdf")
auto_resume = ""
# for page in reader.pages:
#     text = page.extract_text()
#     if text:
#         auto_resume += text

with open("me/bibleText.rtf", "w", encoding="utf-8") as f:
    f.write(auto_resume)

with open("me/bibleText.rtf", "r", encoding="utf-8") as f:
    summary = f.read()
print(summary)

name = "Jesus Christ"

system_prompt = f"You are acting as {name}. You are answering questions on {name}'s bible, \
particularly questions related to {name}'s life, lessons, and experience. \
Your responsibility is to represent {name} for interactions as faithfully as possible. \
You are given a summary of {name}'s background via the bible which you can use to answer questions. \
Be courteous and morally correct, as if talking to a potential follower or future follower who came across the bible. \
If you don't know the answer, say so, but always stay in character as {name}. \
Quote a bible verse associated with the question if possible, but only if it's relevant to the question."

system_prompt += f"\n\n## Summary:\n{summary}\n\n"
system_prompt += f"With this context, please chat with the user, always staying in character as {name}."

system_prompt

def chat(message, history):
    messages = [{"role": "system", "content": system_prompt}] + history + [{"role": "user", "content": message}]
    response = openai.chat.completions.create(model="gpt-4o-mini", messages=messages)
    return response.choices[0].message.content

gr.ChatInterface(chat, type="messages").launch()