https://github.com/iversonson/spark-lite-document-translator

This project aims to provide a fast and efficient document translation solution using Spark Lite's machine learning APIs
https://github.com/iversonson/spark-lite-document-translator

spark translation

Last synced: 26 days ago
JSON representation

This project aims to provide a fast and efficient document translation solution using Spark Lite's machine learning APIs

• Host: GitHub
• URL: https://github.com/iversonson/spark-lite-document-translator
• Owner: iversonson
• Created: 2024-08-14T09:06:29.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-14T09:10:19.000Z (6 months ago)
• Last Synced: 2024-11-16T09:33:59.730Z (3 months ago)
• Topics: spark, translation
• Homepage:
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Spark Lite Document Translator

[![GitHub license](https://img.shields.io/github/license/your-username/spark-lite-document-translator)](https://github.com/your-username/spark-lite-document-translator/blob/main/LICENSE)

This project provides a simple document translation tool powered by Spark Lite's powerful AI capabilities.

## Features

* Supports various document formats: PDF, DOCX, XLSX, TXT.

* Translates documents into multiple languages using Spark Lite's machine learning APIs.

* Provides a user-friendly web interface built with Gradio.

* Generates a concise summary of the translated document.

## Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/your-username/spark-lite-document-translator.git

   cd spark-lite-document-translator

Use code with caution.

Markdown

Install the required packages:

pip install -r requirements.txt

Use code with caution.

Bash

Configure your Spark Lite API credentials:

Open main.py and replace the placeholder values for SPARKAI_APP_ID, SPARKAI_API_SECRET, and SPARKAI_API_KEY with your actual credentials.

Usage

Run the application:

python main.py

Use code with caution.

Bash

Access the web interface in your browser:

The application will print the local URL (e.g., http://127.0.0.1:7860/) to your console.

Upload your document, select the target language, and click "Submit."

The translated text and a summary will be displayed, and they will also be saved to text files in the project directory.