This project provides a system for embedding source code files and generating responses to user queries using relevant code sections through the OpenAI API.

1. emb_save.py: Script for embedding and saving source code files
2. emb_ask.py: Script for finding relevant code based on user queries and generating responses via OpenAI API
3. emb_web.py: Web application for interacting with the embedded code and generating responses

• Ensure Python 3.x is installed.
• Install required libraries:

pip install flask requests numpy nltk 

• Obtain an OpenAI API key from the OpenAI website.

1. Open emb_save.py and modify the following settings:

• API_KEY: Enter your OpenAI API key.
• FOLDER_PATH: Specify the path to the folder containing source code files to be embedded.
• EXTENSIONS: Modify the file extensions to be processed as needed.

2. Run the script:

python emb_save.py 

3. Upon completion, an embeddings.jsonl file will be generated.

1. Open emb_ask.py and set API_KEY to your OpenAI API key.

2. Run the script:

python emb_ask.py 

3. Enter your question at the user_input.

4. The generated response will be saved in a response.md file.

1. Open emb_web.py and set API_KEY to your OpenAI API key.

2. Ensure that the .jsonl files containing the embeddings are in the same directory as emb_web.py.

3. Run the web application:

python emb_web.py 

4. Open a web browser and navigate to http://localhost:5000.

5. Select the .jsonl files you want to use for the query.

6. Enter your question and submit.

7. The application will display the selected files, your question, and the generated answer.

• Securely manage your API key. Do not upload it to public repositories.
• Be mindful of API usage and associated costs.
• Processing large codebases may take considerable time.
• The web application (emb_web.py) is set to run in debug mode. For production use, disable debug mode and use a production-ready WSGI server.

This project is provided under the MIT License.

We welcome all contributions, including bug reports, feature suggestions, and pull requests.