AI-Translation-Model

Text Translation App

This application translates text to English using Google’s Gemini model and Streamlit for the user interface.

Overview

This platform allows users to translate text to English using a generative AI model. The platform leverages a Google Gemini-based text processing pipeline for efficient and accurate translations.

Technology Stack

• Streamlit: For creating the user interface.
• Google Gemini: A generative AI model used for translating text.
• LangChain: Used to handle the prompt and chain for the translation task.
• Pandas: For data manipulation and processing. Features

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1. Translate Text

• Description: Users can enter text they want to translate into English.
• Input Fields:
• Text: The text that the user wants to translate.
• Function: The Google Gemini model processes the input text and generates the translated text.
• UI Element:
  • A text area for entering the text to be translated.
  • A button to trigger the translation action.
• Output: The translated text is displayed.

Here is live api from streamlit , lets try it:

https://victoris-jpg3zajivdafw3u72e6sa7.streamlit.app/

translation model

I utilize Google’s Gemini translation model to convert text into English by providing it with specific prompts.

translation api

Base URL
http://127.0.0.1:5000

API Endpoint

1.Translate Text (/translate)

• URL: /translate
• Method: POST
  
• Description:Translates the provided text to English.

Request Body:

{
  "data": "text that you want to translate"
}

Success Response:

• Code: 200 OK

Response Body:

{
  "Translated text": "translated text here"
}

Error Responses:

• Code: 400 Bad Request
• Content:

  { 
     "error": "Input JSON must contain 'text' field"  
  }