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Simplify code execution with Open Interpreter UI Project with Streamlit. A user-friendly GUI for Python, JavaScript, and more. Pay-as-you-go, no subscriptions. Ideal for beginners.

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GuiStreamlitOpenInterpreter

Trying to make an easy gui to use Open Interpreter

Streamlit UI

Table of Contents

Introduction

GuiStreamlitOpenInterpreter is a project aimed at simplifying the process of running code and interacting with OpenAI models through a graphical user interface (GUI). With Streamlit as the frontend framework, this tool provides an intuitive way to work with Python and OpenAI applications without needing to write code in a traditional coding environment.

Features

  • User-friendly interface for running Python code and others.
  • Integration with OpenAI applications for natural language processing and chatbot functionalities.
  • Simplified execution of code and interaction with OpenAI models.
  • Customizable and extensible for different use cases.

Getting Started

Prerequisites

Before you begin, ensure you have met the following requirements:

  • Python (>= 3.10) installed on your system.
  • Dependencies mentioned in the requirements.txt file.

Installation

  • Try it Online

    • No need to insatall
    • Streamlit App
  • Or Try it Locally

  1. Clone this repository:

    git clone https://github.com/IA-Programming/GuiStreamlitOpenInterpreter.git
  2. Navigate to the project directory:

    cd GuiStreamlitOpenInterpreter
  3. Install the required dependencies using pip:

    pip install -r requirements.txt

Usage

  1. To run the GuiStreamlitOpenInterpreter, use the following command:
    streamlit run streamlit_app.py --server.port 8501
  2. Access the application in your web browser at http://localhost:8501.
  3. Use the GUI to execute Python code and interact with OpenAI applications.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

  1. Fork the repository.
  2. Create a new branch for your feature or bug fix.
  3. Make your changes and commit them with a clear commit message.
  4. Push your changes to your fork.
  5. Create a pull request to merge your changes into the main repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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Simplify code execution with Open Interpreter UI Project with Streamlit. A user-friendly GUI for Python, JavaScript, and more. Pay-as-you-go, no subscriptions. Ideal for beginners.

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