app.py

import streamlit as st
import json
import os

# File path for settings.json
SETTINGS_FILE = "settings.json"

# Initialize the settings file if it doesn't exist
def initialize_settings():
    if not os.path.exists(SETTINGS_FILE):
        with open(SETTINGS_FILE, "w") as file:
            json.dump({"topic": "", "instructions": ""}, file)

# Load settings from the file
def load_settings():
    with open(SETTINGS_FILE, "r") as file:
        return json.load(file)

# Save settings to the file
def save_settings(settings):
    with open(SETTINGS_FILE, "w") as file:
        json.dump(settings, file, indent=4)

# Dummy function to simulate prompt generation
def generate_prompt(topic, instructions):
    return f"Generated prompt based on topic '{topic}' and instructions: '{instructions}'."

# Initialize the app
initialize_settings()

# Load settings
settings = load_settings()

# Main app
def main():
    st.title("AI Prompt Configuration")
    # Create text areas for topic and instructions
    topic = st.text_area("Topic", value=settings.get("topic", ""), key="topic")
    instructions = st.text_area("Custom Instructions", value=settings.get("instructions", ""), key="instructions")

    # Update the JSON file if the text areas are changed
    if topic != settings.get("topic") or instructions != settings.get("instructions"):
        settings["topic"] = topic
        settings["instructions"] = instructions
        save_settings(settings)

    # Button to generate a prompt
    if st.button("Generate Prompt"):
        result = generate_prompt(topic, instructions)
        st.success(result)

    st.write("The settings.json file is being used to persist values across app executions.")

if __name__ == "__main__":
    main()