https://github.com/amm4r03/natural-language-to-latex

convert natural language mathematical expressions and equations to rendered latex
https://github.com/amm4r03/natural-language-to-latex

latex miktex pdflatex python

Last synced: 14 days ago
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convert natural language mathematical expressions and equations to rendered latex

• Host: GitHub
• URL: https://github.com/amm4r03/natural-language-to-latex
• Owner: Amm4r03
• Created: 2024-07-30T02:52:37.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-03T12:34:26.000Z (about 1 year ago)
• Last Synced: 2025-04-07T08:44:57.542Z (7 months ago)
• Topics: latex, miktex, pdflatex, python
• Language: Python
• Homepage:
• Size: 1.12 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## natural language to latex

this tool converts user input for any mathematical equation or expression into its latex equivalent making use of LLM. the latex obtained is converted to a jpeg file and saved in the `/output` folder - thus the user can make use of the image or just the plain latex text obtained

## features

- Converts natural language mathematical expressions and equations to LaTeX

- Generates jpeg images of LaTeX expressions

## Example

**Input:** "integral of x squared from 0 to 1"

**Output:**

- LaTeX: `\int_0^1 x^2 \, dx`

- Image: (image preview)

examples for the images generated using this project have been added within the `examples` folder

Given below are some images that were generated using this project

1. a 2x2 matrix with its determinant

    ![2x2matrixwithdeterminant](examples/a_2x2_matrix_with_its_determinant_1.jpg)

2. bayes theorem

    ![bayes_theorem](examples/bayes_theorem_1.jpg)

3. correlation coefficient r

    ![correlation_coeff](examples/correlation_coefficient_r_1.jpg)

## installation

run the following command 

```git

git clone https://github.com/Amm4r03/natural-language-to-latex

```

## requirements

install python packages using the following command :

(packages mentioned in `requirements.txt`)

```cmd

pip install -r requirements.txt

```

this project also makes use of `pdflatex` which comes installed with MiKTeX and can be downloaded from [here](https://miktex.org/howto/download-miktex)

## Usage

- When running the project for the first time, start by getting your API key up and running from [cohere](https://dashboard.cohere.com/api-keys) which provides fairly decent LLM usage under the free tier

- run the [start_here.py](start_here.py) and enter the API key obtained from cohere to get your API key saved to the .env file 

- run the [app.py](app.py) file

- the output images obtained will be stored in the `/output` folder and the latex obtained for the expression will be displayed in the terminal