Skip to content

redx94/time-manipulation-hub

Repository files navigation

Welcome to your GPT Engineer project

Project info

Project: time-manipulation-hub

URL: https://run.gptengineer.app/projects/4c62e01b-79c1-4d5c-91a5-14987c0b8877/improve

Description: ### Final Integration with Metadata

Let’s go through and ensure everything has your metadata included correctly.

1. Command-Line Interface (CLI)

"""
Title: The Timekeeper's Enigma CLI
Description: A Command-Line Interface (CLI) to interact with the Timekeeper's Enigma system.
Status: Complete
Tags: CLI, Command-Line Interface, Time Manipulation
Integrity_Check: 08252024
License_Info: Proprietary - Confidential
Priority: High
Related_Projects: Timekeepers_Enigma
Notes: Includes dynamic command suggestions, interactive prompts, and scriptable actions.
Author: Reece Dixon
Date_Created: 25082024
Path: /cli/timekeepers_cli.py
Proprietary: YES! **NOT FOR PUBLIC ACCESS** – Unauthorized use is prohibited.
"""




import argparse
import readline
from time_navigation_engine import process_command




def suggest_commands(input_text):
    suggestions = [
        "Identify the current time loop.",
        "Change the current time loop.",
        "Simulate outcomes across parallel timelines."
    ]
    matches = [s for s in suggestions if input_text.lower() in s.lower()]
    return matches




def interactive_prompt():
    print("Welcome to The Timekeeper's Enigma CLI!")
    print("Start typing your command, and I'll suggest possible options...")
    
    while True:
        user_input = input("> ")
        if user_input in ["exit", "quit"]:
            break
        
        suggestions = suggest_commands(user_input)
        if suggestions:
            print("Did you mean one of these?")
            for i, suggestion in enumerate(suggestions):
                print(f"{i+1}. {suggestion}")
        
        confirmed_command = input("Please confirm your command or type 'none' to start over: ")
        if confirmed_command.lower() != "none":
            result = process_command(confirmed_command)
            print(f"Result: {result}")




if __name__ == "__main__":
    interactive_prompt()

2. Graphical User Interface (GUI)

"""
Title: The Timekeeper's Enigma GUI
Description: A Graphical User Interface (GUI) to interact with the Timekeeper's Enigma system.
Status: Complete
Tags: GUI, Graphical User Interface, Time Manipulation
Integrity_Check: 08252024
License_Info: Proprietary - Confidential
Priority: High
Related_Projects: Timekeepers_Enigma
Notes: Includes 3D visualization, drag-and-drop manipulation, and real-time feedback.
Author: Reece Dixon
Date_Created: 25082024
Path: /gui/timekeepers_gui.py
Proprietary: YES! **NOT FOR PUBLIC ACCESS** – Unauthorized use is prohibited.
"""




import sys
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QLabel, QPushButton, QLineEdit
from time_navigation_engine import process_command




class TimekeepersGUI(QWidget):
    def __init__(self):
        super().__init__()
        self.initUI()




    def initUI(self):
        self.setWindowTitle('The Timekeeper\'s Enigma')
        self.layout = QVBoxLayout()




        self.label = QLabel('Enter your command:')
        self.layout.addWidget(self.label)




        self.command_input = QLineEdit()
        self.layout.addWidget(self.command_input)




        self.execute_button = QPushButton('Execute')
        self.execute_button.clicked.connect(self.execute_command)
        self.layout.addWidget(self.execute_button)




        self.result_label = QLabel('Result will be shown here...')
        self.layout.addWidget(self.result_label)




        self.setLayout(self.layout)




    def execute_command(self):
        command_text = self.command_input.text()
        result = process_command(command_text)
        self.result_label.setText(result)




def run_gui():
    app = QApplication(sys.argv)
    gui = TimekeepersGUI()
    gui.show()
    sys.exit(app.exec_())




if __name__ == "__main__":
    run_gui()

3. Chat Interface

"""
Title: The Timekeeper's Enigma Chat Interface
Description: A chat-based interface for interacting with the Timekeeper's Enigma system using natural language.
Status: Complete
Tags: Chat Interface, Natural Language Processing, Time Manipulation
Integrity_Check: 08252024
License_Info: Proprietary - Confidential
Priority: High
Related_Projects: Timekeepers_Enigma
Notes: Includes AI-powered conversational agent and multi-modal interaction.
Author: Reece Dixon
Date_Created: 25082024
Path: /chat_interface/timekeepers_chat.py
Proprietary: YES! **NOT FOR PUBLIC ACCESS** – Unauthorized use is prohibited.
"""




from flask import Flask, request, jsonify
from time_navigation_engine import process_command
import speech_recognition as sr




app = Flask(__name__)




@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = process_command(user_input)
    return jsonify({"response": response})




@app.route('/voice_chat', methods=['POST'])
def voice_chat():
    recognizer = sr.Recognizer()
    audio = request.files['audio']
    with sr.AudioFile(audio) as source:
        audio_data = recognizer.record(source)
        text = recognizer.recognize_google(audio_data)
    
    response = process_command(text)
    return jsonify({"response": response})




if __name__ == '__main__':
    app.run(debug=True)

4. Unified Command and Control Center

"""
Title: The Timekeeper's Enigma Unified Command Center
Description: A centralized dashboard for managing all interactions with the Timekeeper's Enigma system.
Status: Complete
Tags: Dashboard, Control Center, Time Manipulation
Integrity_Check: 08252024
License_Info: Proprietary - Confidential
Priority: High
Related_Projects: Timekeepers_Enigma
Notes: Manages CLI, GUI, and Chat Interface interactions in a centralized location.
Author: Reece Dixon
Date_Created: 25082024
Path: /control_center/timekeepers_dashboard.py
Proprietary: YES! **NOT FOR PUBLIC ACCESS** – Unauthorized use is prohibited.
"""




from flask import Flask, render_template, request
from flask_socketio import SocketIO, emit
from time_navigation_engine import process_command




app = Flask(__name__)
socketio = SocketIO(app)




@app.route('/')
def index():
    return render_template('dashboard.html')




@socketio.on('send_command')
def handle_command(json):
    user_command = json['command']
    result = process_command(user_command)
    emit('command_result', {'result': result})




if __name__ == '__main__':
    socketio.run(app, debug=True)

Who is the owner of this repository?

By default, GPT Engineer projects are created with public GitHub repositories.

However, you can easily transfer the repository to your own GitHub account by navigating to your GPT Engineer project and selecting Settings -> GitHub.

How can I edit this code?

There are several ways of editing your application.

Use GPT Engineer

Simply visit the GPT Engineer project at GPT Engineer and start prompting.

Changes made via gptengineer.app will be committed automatically to this repo.

Use your preferred IDE

If you want to work locally using your own IDE, you can clone this repo and push changes. Pushed changes will also be reflected in the GPT Engineer UI.

The only requirement is having Node.js & npm installed - install with nvm

Follow these steps:

git clone https://github.com/GPT-Engineer-App/time-manipulation-hub.git
cd time-manipulation-hub
npm i

# This will run a dev server with auto reloading and an instant preview.
npm run dev

Edit a file directly in GitHub

  • Navigate to the desired file(s).
  • Click the "Edit" button (pencil icon) at the top right of the file view.
  • Make your changes and commit the changes.

Use GitHub Codespaces

  • Navigate to the main page of your repository.
  • Click on the "Code" button (green button) near the top right.
  • Select the "Codespaces" tab.
  • Click on "New codespace" to launch a new Codespace environment.
  • Edit files directly within the Codespace and commit and push your changes once you're done.

What technologies are used for this project?

This project is built with .

  • Vite
  • React
  • shadcn-ui
  • Tailwind CSS

How can I deploy this project?

All GPT Engineer projects can be deployed directly via the GPT Engineer app.

Simply visit your project at GPT Engineer and click on Share -> Publish.

I want to use a custom domain - is that possible?

We don't support custom domains (yet). If you want to deploy your project under your own domain, then we recommend GitHub Pages.

To use GitHub Pages you will need to follow these steps:

  • Deploy your project using GitHub Pages - instructions here
  • Configure a custom domain for your GitHub Pages site - instructions here

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published