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README.md
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# GPTfree Jailbreak WebUI :unlock:
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This repository contains ChatGPT unlocked with WebUI that *DOES NOT REQUIRE ANY API KEY*.
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## Incorporated Projects :busts_in_silhouette:
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I highly recommend visiting and supporting both projects.
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### WebUI
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The application interface was incorporated from the [chatgpt-clone](https://github.com/xtekky/chatgpt-clone) repository.
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### API freeGPT
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The free GPT API was incorporated from the [freeGPT](https://github.com/Ruu3f/freeGPT) repository.
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## Table of Contents
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- [Getting Started](#getting-started-white_check_mark)
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- [Cloning the Repository](#cloning-the-repository-inbox_tray)
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- [Install Dependencies](#install-dependencies-wrench)
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- [Running the Application](#running-the-application-rocket)
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- [Docker](#docker-)
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- [Prerequisites](#prerequisites)
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- [Running the Docker](#running-the-docker)
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## Getting Started :white_check_mark:
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To get started with this project, you'll need to clone the repository and have [Python](https://www.python.org/downloads/) installed on your system.
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### Cloning the Repository :inbox_tray:
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Run the following command to clone the repository:
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```
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git clone https://github.com/ramonvc/gptfree-jailbreak-webui.git
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```
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### Install Dependencies :wrench:
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Navigate to the project directory:
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```
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cd gptfree-jailbreak-webui
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```
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Install the dependencies:
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```
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pip install -r requirements.txt
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```
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## Running the Application :rocket:
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To run the application, run the following command:
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```
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python run.py
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```
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Access the application in your browser using the URL:
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```
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http://127.0.0.1:1338
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```
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or
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```
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http://172.17.0.2:1338
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```
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## Docker 🐳
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### Prerequisites
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Before you start, make sure you have installed [Docker](https://www.docker.com/get-started) on your machine.
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### Running the Docker
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Build the Docker image:
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```
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docker-compose build
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```
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Run the application using Docker Compose:
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```
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docker-compose up
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```
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Access the application in your browser using the URL:
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```
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http://127.0.0.1:1338
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```
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or
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```
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http://172.17.0.2:1338
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```
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When you're done using the application, stop the Docker containers using the following command:
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```
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docker-compose down
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```
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