Venture into the realm of experimental writing with PocketWriter, an innovative tool driven by Recurrent Neural Networks (RNN). PocketWriter invites you to embark on a journey of experimentation and discovery, where every word is an opportunity to redefine perfection.
Read the full blog post on Salvatore Labs Blog.
To get started, make sure you have the following prerequisites installed:
- Python
- Conda or miniconda
Clone the project repository from GitHub:
git clone https://github.com/salvatore356/text-generation-with-rnn.git
Navigate to the project directory:
cd text-generation-with-rnn
Install the necessary dependencies:
conda create --name myenv --file requirements.txt
Activate your environment
conda activate myenv
Once you've completed the setup, you can utilize the command below to either train or make predictions using the model, as needed.
python main.py
To train the model with your custom data, simply place the desired plain text files in the "data/training/es" directory. Then, execute the following command in your terminal:
python main.py
We extend our heartfelt appreciation to the dedicated creators and contributors of https://github.com/GoogleCloudPlatform/asl-ml-immersion for their tireless efforts and profound inspiration that have fueled the inception of this post.
We trust that your exploration of the PocketWriter: Imperfectly Perfect Prose with RNN repository will be both delightful and inspiring. Embrace the joy of coding!