FileAI: Transforming Text Prompts into Fully Formatted Files

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Overview

FileAI is a personal project designed to streamline the process of converting simple text prompts into fully formatted files. It provides a seamless and intelligent solution for users who need structured documents, reports, or data files without manually formatting them.

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Use Cases

✅ Reports & Documents – Turn brief text into structured reports.
✅ Spreadsheets – Generate organized Excel sheets.
✅ Visualizations – Create charts & bar graphs.
✅ PDFs – Auto-format content into PDFs.

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Tech Stack

• Frontend: Next.js
• Backend: Django
• Database: MySQL
• Containerization: Docker

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Development Setup

Follow these steps to run the File AI project locally, make changes, and test it.

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Clone the Repository

First, clone the repository and navigate to the project directory:

git clone https://github.com/justsomerandomdude264/File_AI.git  
cd File_AI  

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Environment Setup

Create two .env files for configuration.

🔹 Root Directory .env

Create a .env file in the root directory with the following content:

MYSQL_ROOT_PASSWORD=ROOT PASSWORD  
DB_USER=DATABASE USER  
DB_PASSWORD=DATABASE USER PASSWORD  

🔹 Backend Directory .env

Create another .env file inside the backend directory:

OPENAI_API_KEY="YOUR OPENAI API KEY"  

DB_ROOT_PASSWORD=ROOT PASSWORD  
DB_NAME=fileai_db  
DB_USER=DATABASE USER  
DB_PASSWORD=DATABASE USER PASSWORD  
DB_HOST=db  
DB_PORT=3306  
TEST_DB_NAME=fileai_test  

DJANGO_SECRET_KEY="YOUR DJANGO SECRET KEY"  

TEST=1  

SENDGRID_API_KEY="YOUR SENDGRID API KEY"  
TWILIO_ACCOUNT_SID="ACCOUNT SID"  
TWILIO_AUTH_TOKEN="ACCOUNT AUTH TOKEN"  

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Run with Docker

If you prefer Docker, simply run:

docker-compose up  

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Manual Setup (Without Docker)

If you don't want to use Docker, follow these steps:

1️. Ensure MySQL Database is Running

2. Setup Python Virtual Environment

Create and activate a virtual environment, then install dependencies:

python -m venv venv
venv/Scripts/activate
pip install -r requirements.txt  

3. Run the Backend

Navigate to the backend folder and start the Django server:

cd backend  
python manage.py runserver  

4. Run the Frontend

Navigate to the frontend folder and start the Next.js development server:

cd frontend_nextjs  
npm run dev  

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Complete!

Now, open your browser on localhost:3000 if running manually and localhost:80 if running docker and start using File AI 🎉

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Contributions

Please feel free to contribute to this projects, open issues and pull requests.

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