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# AI_assistant_chatbot | ||
# Lexi, AI-Powered Customer Support | ||
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[![CI](https://github.com/AdrienHdz/AI_assistant_chatbot/actions/workflows/CI.yml/badge.svg)](https://github.com/AdrienHdz/AI_assistant_chatbot/actions/workflows/CI.yml) | ||
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![Alt Text](https://github.com/AdrienHdz/AI_assistant_chatbot/blob/main/avatar.gif?raw=true) | ||
<p align="center"> | ||
<img src="https://github.com/AdrienHdz/AI_assistant_chatbot/blob/main/avatar.gif?raw=true" alt="Alt Text"> | ||
</p> | ||
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## Prerequites | ||
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Ensure you have the following environment variables: | ||
- APP_OPENAI_API_KEY, create an account on [OpenAI](https://www.openai.com) to get your API key | ||
- APP_REPLICATE_API_TOKEN, create an account on [Replicate](https://replicate.com/) to get your API key | ||
- APP_ELEVENLABS_API_KEY, create an account on [Elevenlabs](https://elevenlabs.io/) to get your API key | ||
- APP_GCP_PROJECT_ID, it is the ID of your project in Google Cloud Platform(https://cloud.google.com/?hl=en) | ||
- APP_VERTEXAI_LOCATION, use a geographic location that is compatible with Vertex AI (I'm using us-central1) | ||
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Make sure to login in GCP with the command: | ||
```sh | ||
gcloud auth application-default login | ||
``` | ||
This will allow the backend running inside the Docker container to use these credentials to authenticate with Google Cloud Services. | ||
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## Use docker-compose to run the project | ||
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Ensure that you have both Docker and docker-compose installed on your system: | ||
I'm using a Builtkit in the backend Dockerfile. You must therefore active the correspond environment variables to build the docker images. | ||
```sh | ||
export DOCKER_BUILDKIT=1 | ||
export COMPOSE_DOCKER_CLI_BUILD=1 | ||
``` | ||
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To start the application, simply run: | ||
```sh | ||
make dc-up | ||
``` | ||
## Stack | ||
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- [FastApi](https://fastapi.tiangolo.com/) - A modern, fast, web framework for building APIs with Python 3.8+ | ||
- [Angular](https://angular.io/) - An application-design framework and development platform for creating efficient and sophisticated singled-page apps. | ||
- [TailwindCSS](https://tailwindcss.com/) - a utility-first CSS framework for rapidly building modern websites. | ||
- [Docker](https://www.docker.com/) - a software to build and run container applications. | ||
- [Redis](https://redis.io/) - An open source, in-memory data structure store, used as a database, cache and message broker. | ||
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## Project structure | ||
``` | ||
$PROJECT_ROOT | ||
│ # Python backend using FastApi and Redis | ||
├── backend | ||
│ # Angular and tailwind CSS frontend | ||
├── frontend | ||
│ # Docker compose config files | ||
├── docker-compose | ||
│ # An example to fine tune gpt3.5 turbo with a sample of data | ||
└── example-fine-tuning | ||
``` | ||
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## License | ||
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MIT License. | ||
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You can reuse any part of my work and code for free without notifying me by forking this project under the following conditions: | ||
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- Attribution: You must give appropriate credit, provide a link to my repository (https://github.com/AdrienHdz/AI_assistant_chatbot) or to my website (https://www.adrienhernandez.com/). | ||
- For example: "This project is built based on Adrien Hernandez's AI assistant chatbot project." | ||
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