Build your own Custom GPT Content Generator (Open-Source ChatGPT Alternative)

This repository helps you build your own GPT4All Content generator with GPT4All, Llama-Python & Gradio

For Windows OS,

1. Download, extract the zip file and run. Do ensure to extract the zip file before running it.
2. After successful installation of the kit, press 'Y' to run the kit and execute cells in the notebook.
3. To run the kit manually, press 'N' and follow the below steps:
4. Navigate to the 'gpt4all-content-generator'.folder located in C:\kandikits
5. Open command prompt inside the extracted directory 'gpt4all-content-generator'
6. Run this command - "gpt4all-content-generator-env\Scripts\activate.bat" to activate the virtual environment
7. Run the command - "cd gpt4all-content-generator"
8. Run the command 'jupyter notebook' which would start a Jupyter notebook instance.
9. Locate and open the 'GPT4All-Content_Generator.ipynb' notebook from the Jupyter Notebook browser window.
10. Execute cells in the notebook.

For Linux distros,

1. Follow the instructions to download & install Python3.9 & pip for your respective Linux distros.
2. From the terminal, run the below commands to update and install gcc 11 compiler:
3. sudo apt update
4. sudo add-apt-repository -y ppa:ubuntu-toolchain-r/test
5. sudo apt install -y gcc-11
6. Click here to download the repository.
7. Extract the zip file and navigate to the directory gpt4all-content-generator
8. Once you are in gpt4all-content-generator folder, create a directory named 'models' using the command: mkdir models
9. Download the model using the command: 'wget https://kandi.dev/owassets/kandi1clickkits-model-assets/gpt4all/gpt4all-lora-quantized-ggml.bin -O models/gpt4all-lora-quantized-ggml.bin'
10. Move the downloaded file to the 'models' directory.
11. Open a terminal in the extracted directory 'gpt4all-content-generator'
12. Create and activate virtual environment using this command: 'virtualenv venv & source ./venv/bin/activate'
13. Install dependencies using the command 'pip3.9 install -r requirements-linux.txt'
14. Once the dependencies are installed, run the command 'jupyter notebook' to start jupyter notebook (Pls use --allow-root if you're running as root)
15. Locate and open the 'GPT4All-Content_Generator.ipynb' notebook from the Jupyter Notebook browser window.
16. Execute cells in the notebook.

For Mac OS,

1. Follow the instructions to download & install Python3.9 & pip in Mac OS
2. From the terminal, run the command to update and install gcc 11 compiler: brew install gcc@11
3. Download the repository.
4. Extract the zip file and navigate to the directory gpt4all-content-generator
5. Once you are in gpt4all-content-generator folder, create a directory named 'models' using the command: mkdir models
6. Download the model using the command: 'wget https://kandi.dev/owassets/kandi1clickkits-model-assets/gpt4all/gpt4all-lora-quantized-ggml.bin -O models/gpt4all-lora-quantized-ggml.bin'
7. Open command prompt in the extracted directory 'gpt4all-content-generator'
8. Create and activate virtual environment using this command: 'virtualenv venv & source ./venv/bin/activate'
9. Install dependencies using the command 'pip3.9 install -r requirements-mac.txt'
10. Once the dependencies are installed, run the command 'jupyter notebook' to start jupyter notebook (Pls use --allow-root if you're running as root)
11. Locate and open the 'GPT4All-Content_Generator.ipynb' notebook from the Jupyter Notebook browser window.
12. Execute cells in the notebook.

Click the button below to download the solution and follow the deployment information to begin set-up. This 1-click kit has all the required dependencies and resources to build your GPT4All based Content Generator App.