Next word predictor

Watch this self-guided tutorial on how you can use text sequence, pre-trained models, and Transformers Library, to build your own Next word predictor. Completed the training? Apply for your Participation Certificate and Achievement Certificate now! Apply for Certification Tag us on social media with a screenshot or video of your working application for a chance to be featured as an Open Source Champion and get a verified badge.

For Windows OS, Download, extract and double-click the kit installer file to install the kit. Note: Do ensure to extract the zip file before running it. The installation may take from 2 to 10 minutes based on bandwidth. If you face any challenges while installing, please refer troubleshooting section of this kit. 1. After successful installation of the kit, press 'Y' to run the kit and execute cells in the notebook. 2. To run the kit manually, press 'N' and locate the zip file 'next-word-prediction.zip' 3. Extract the zip file and navigate to the directory 'next-word-prediction-master' 4. Open command prompt in the extracted directory 'next-word-prediction-master' and run the command 'jupyter notebook' For other Operating System, 1. Click here to install python 2. Click here to download the repository 3. Extract the zip file and navigate to the directory 'next-word-prediction-master' 4. Open terminal in the extracted directory 'next-word-prediction-master' 5. Install dependencies by executing the command 'pip install -r requirements.txt' 6. Run the command ‘jupyter notebook’ and select the notebook ‘Next Word Predictor.ipynb’ on the browser window.

Follow the below instructions to run the solution. 1. Locate and open the 'Next Word Predictor.ipynb' notebook from the Jupyter Notebook browser window. 2. Execute cells in the notebook by selecting Cell --> Run All from the Menu bar. 3. Once all the cells of the notebook are executed, the last interactive cell (Customisation) will be active, there we can give the input data or we can give the input text in the variable 'text_seq' under the variable section. Input

text_seq = "I'm gonna make him an offer he can't"

Output For any support, you can reach us at FAQ & Support

The next word predictor created using this kit is added in this section. The entire solution is available as a package to download from the source code repository.

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web-based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.

For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation.

Libraries in this group are used for analysis and processing of unstructured natural language.

The library offers state-of-the-art pre-trained models for Natural Language Processing (NLP).

1. If you encounter any error related to MS Visual C++, please install MS Visual Build tools 2. While running batch file, if you encounter Windows protection alert, select More info --> Run anyway. 3. During kit installer, if you encounter Windows security alert, click Allow. 4. If you encounter Memory Error, check if the available memory is sufficient and it is proportion to the size of the data being used. For our dataset, the minimum required memory is 8GB. If your computer doesn't support standard commands from windows 10, you can follow the instructions below to finish the kit installation. 1. Click here to install python 2. Click here to download the repository 3. Extract the zip file and navigate to the directory 'next-word-prediction-master' 4. Open terminal in the extracted directory 'next-word-prediction-master' 5. Install dependencies by executing the command 'pip install -r requirements.txt' 6. Run the command ‘jupyter notebook’ and select the notebook ‘Next Word Predictor.ipynb’ on the browser window.

For any support, you can reach us at FAQ & Support