anki-csv2ankicards/README.md

# csv2ankicards

A comprehensive toolkit that offers:
- Conversion of CSV files into Anki deck packages (.apkg files).
- Conversion of image files in a directory to a text file using Optical Character Recognition (OCR).
- Generation of CSV format question-answer pairs from textual content using OpenAI's GPT-3 model.
- **RESTful API endpoint to upload and convert multiple images directly into an Anki deck package.**

## Features

- Converts a CSV file with questions and answers into an Anki deck package.
- Converts image files from a specified directory to a single text file using OCR.
- Generates CSV formatted question-answer pairs based on a given text content, ideal for studying or summarization.
- For CSV: there are only two columns in the CSV file, separated by the first comma encountered.
- CSV files should have a "Front" column for questions and a "Back" column for answers.
- **API endpoint that accepts multiple image uploads, processes them through the pipeline, and returns an Anki deck package.**

## Installation

1. Clone this repository:
   ```bash
   git clone https://git.rudefox.io/bj/anki-csv2ankicards.git
   cd csv2ankicards
   ```

2. Set up a virtual environment and activate it:
   ```bash
   python3 -m venv venv
   source venv/bin/activate
   ```

3. Install the required packages:
   ```bash
   pip install -r requirements.txt
   ```

## Configuration

Before using the `text2csvdeck.py` script, ensure that you have set the `OPENAI_API_KEY` environment variable:

```bash
export OPENAI_API_KEY=your_openai_api_key_here
```

Remember to replace `your_openai_api_key_here` with your actual OpenAI API key.

## Usage

### **REST API Usage**

To start the server:
```bash
python server.py
```

#### Endpoint: `/deck-from-images`

**Method**: POST

**Description**: Accepts multiple image uploads, processes them through the pipeline, and returns an Anki deck package.

**Body**:

- form-data with key `image` and multiple image files as values.

**Response**:

- An `output.apkg` file ready for import into Anki.

### Pipeline Usage

To convert a directory of images directly to an Anki deck package:

```bash
python pipeline.py /path/to/your/image_directory/
```

This will process the images, extract text, convert text to a set of questions and answers in CSV format, and then produce an `output.apkg` file ready for import into Anki.

### Image to Text Conversion

To convert images from a directory to a single text file using OCR:

```bash
python images2text.py /path/to/your/image_directory/
```

This will produce a `final.txt` file which contains the text extracted from the images.

#### Supported Image Formats

Currently supported formats for the images are: `.png`, `.jpg`, and `.jpeg`.

### Text to CSV Deck Generation

To generate a CSV deck of question-answer pairs from a given text file:

```bash
python text2csvdeck.py /path/to/your/textfile.txt
```

This will analyze the content of the given text file and generate a corresponding `_deck.csv` file with questions and answers that capture the main points and themes of the text.

**Note:** This script uses the OpenAI GPT-3 model. Ensure you have the necessary API key and OpenAI Python client installed.

### CSV to Anki Conversion

To convert a CSV file into an Anki deck package:

```bash
python csv2ankicards.py /path/to/your/csvfile.csv output.apkg
```

This will produce an `output.apkg` file which can then be imported into Anki.

#### CSV Format

The CSV file should follow this format:

```
Front,Back
Your question here,Your answer here
Another question,list of: answer1, answer2, answer3
...
```

**Note:** If your answers contain commas, they will be considered as part of the answer. Only the first comma is used to separate the question from the answer.