A brief description of the files in this repository:

1.getprompt.ipynb: This file contains functions for generating personalized prompts to guide users in their learning journey. It includes functions for retrieving the access token, generating the scale of prompt, and generating the path of prompt based on the user's selected pool.

2.getanswer.ipynb: This file contains functions for generating answers to user queries. It includes functions for retrieving the access token and generating the answer based on the user's query.

3.estimate.ipynb: This file contains functions for generating estimates of user's performance based on their selected pool. It includes functions for encoding text, calculating similarities, and generating the best fit pool.

4.creategraph.ipynb: This file contains functions for creating graph visualizations for the learning paths. It includes functions for plotting the graph, customizing the node sizes, and saving the graph as a PNG image.

1.Setup: To use these files, first download and install Jupyter Notebook on your machine. Then, create a virtual environment and install necessary dependencies using the provided requirements.txt file.

2.Getprompt: Open the getprompt.ipynb file and execute the cells to get personalized prompts for the user.

3.Getanswer: Open the getanswer.ipynb file and execute the cells to get answers to user queries.

4.Estimate: Open the estimate.ipynb file and execute the cells to generate estimates of user's performance.

5.Creategraph: Open the creategraph.ipynb file and execute the cells to generate graph visualizations for the learning paths.

The getprompt.ipynb and getanswer.ipynb files require separate API keys and secret keys, which are stored in a config.json file. The estimate.ipynb file requires the sentence-transformers package, which can be installed using the provided pip command. The creategraph.ipynb file requires the networkx, matplotlib, and pool packages, which are listed in the requirements.txt file.

This project is licensed under the MIT License. See the LICENSE file for more information.