https://github.com/arshitarora/english-hinglish

https://github.com/arshitarora/english-hinglish

Last synced: 24 days ago
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• Host: GitHub
• URL: https://github.com/arshitarora/english-hinglish
• Owner: ArshitArora
• Created: 2023-10-30T11:50:26.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2023-10-31T05:19:53.000Z (about 1 year ago)
• Last Synced: 2024-09-18T10:49:17.055Z (4 months ago)
• Language: Python
• Size: 13.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
# English-Hinglish - Translator

- Completed the task with 2 different methods

1) Using Open-Ai's API

2) Tradional ML Model Trained Using Dataset

- Found A Dataset online for English To Hinglish at [https://huggingface.co/datasets/findnitai/english-to-hinglish/tree/main](English-to-Hinglish)

## Open-Ai approach

1. Clone this repository:

    ```bash

    git clone https://github.com/Delicate-Jerk/English-Hinglish.git

    cd english-to-hinglish

    ```

2. Install the required Python packages:

    ```bash

    pip install openai gradio

    ```

3. Set up your OpenAI API key:

    - Replace the `api_key` variable in the `openai-src` file with your OpenAI API key.

### Running the Translator

1. To run the translator in the terminal:

    - Uncomment the code in `openai-src.py` within the section marked for terminal use.

    - Execute the script using:

        ```bash

        python openai-src.py

        ```

2. Using the Graphical User Interface (GUI):

    - Launch the graphical interface by executing the following command in the terminal:

        ```bash

        python openai-src.py

        ```

    - This will open a web browser window where you can input English text and get the corresponding Hinglish translation.

### Input and Output

- The code allows you to input English text and receive the translated Hinglish text either through the terminal or a graphical user interface.

## For the Tradional ML Approach

- Just install the latest version of required dependiciies and run the code by replacing the path to the dataset with `hinglish_upload_v1.json`

        ```bash

        python ml-src.py

        ```