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# Custom-Knowledge-Based Querying with ChatGPT
This project is a Python backend service that runs on Google Cloud Functions. It utilizes ChatGPT to provide custom knowledge-based querying by reading an `index.json` file from Firebase Storage and using it as a Llama index for generating responses.
## Features
- Reads `index.json` file from Firebase Storage and uses it as a Llama index
- Provides custom knowledge-based querying powered by ChatGPT
- Accepts `input_text` as an API parameter and generates a relevant response along with the source of the information
## Installation & Deployment
This project is designed to be deployed as a Google Cloud Function. Follow the official [Google Cloud Functions documentation](https://cloud.google.com/functions/docs) to set up and deploy the function.
Deploy using script below in the command line:
`gcloud functions deploy hello_world --runtime python310 --trigger-http --allow-unauthenticated --entry-point hello_world --source . --set-env-vars OPENAI_API_KEY=YOUR_SECRET_KEY --memory 1024MB`
Change YOUR_SECRET_KEY to your own OpenAI secret key
### Prerequisites
- A Google Cloud account with billing enabled
- Firebase Storage configured with an `index.json` file
- Google Cloud SDK installed on your local machine
- OpenAI API key
### Setup
1. Clone this repository.
2. Install the required dependencies with `pip install -r requirements.txt`.
3. Set the `OPENAI_API_KEY` environment variable in your Google Cloud Function configuration.
4. Configure the `storageBucket` option in `firebase_admin.initialize_app()` to match your Firebase Storage bucket.
5. Deploy the function to Google Cloud Functions following their documentation.
## Usage
Make a GET request to the deployed Cloud Function with an `input_text` query parameter. The response will be a JSON object containing a generated response and the source of the information.
## http
GET https://<your-cloud-function-url>/hello_world?input_text=<your-query-text>
## Contributing
Fork the project.
Create a new branch (git checkout -b feature_branch).
Commit your changes (git commit -am 'Add a new feature').
Push to the branch (git push origin feature_branch).
Create a new Pull Request.
## License
This project is licensed under the MIT License.
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