Fastapi Embedding AI Service

This repository contains a simple API that provides a service for querying and getting relevant data using Embedding AI. It is built using the FastAPI web framework and the OpenAI library.

I made this service to make the AI create poems like mine, after i add them in a csv file

I used in this repository

1. Openai
2. Fastapi 3.Python
3. csv file

In order to run the code locally you should do :

1. clone the repo into yours machine
2. create your virtual environment to install dependencies like this command in git bash

python -m venv env

here you created virtual environment called 'env'

3. activate the env using this command

source env/scripts/activate

4. install the required packages using this command

pip install -r requirements.txt

5. here you should prepare you csv file , then you can run script prepare to create the embbeding after getting into backend directory , you can run by python prepare.py

6. then you can run the fastapi APIs using uvicorn main:app --reload

Conclusion

This project provides a simple example of how to use FastAPI and OpenAI to create a service for querying and getting relevant data using Embedding AI. The instructions above will help you get started running the code on your local machine,