A real-time voice translator web app built with Streamlit that captures live speech, converts it to text, translates it into a chosen language, and plays back the translated audio using text-to-speech. It supports multiple languages, start/stop controls, text editing, and export features to enable seamless multilingual communication.

This project is a language translator app i built using python and the streamlit library.

Developed a language translator app using Streamlit that leverages the Helsinki-NLP/opus-mt-en-hi model from Hugging Face, trained on the cfilt/iitb-english-hindi dataset. This app efficiently translates text from English to Hindi, providing accurate and context-aware translations tailored for a diverse range of users.

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A web based app which includes Text generation, Text Summarizer, Grammar Checker, Question Answering and language translator. It is developed using Recent NLP Models like Bert, T5 Transformer and gpt2

This repo contains langchain concepts and a simple language translator app using langchain+streamlit

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🎙 A real-time language translator app built with Python and Streamlit. It listens to speech, converts it to text, translates between 100+ languages using Google Translate, and speaks the result aloud with gTTS — enabling fast, natural multilingual communication anytime, anywhere.

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This Python script creates a Streamlit app for text translation and text-to-speech. It loads language data from a CSV file, uses the translate package for translation, and gTTS for generating speech. Users can input text, choose a language, get the translation, listen to it, and download the audio file.

A language translator app using Mbart huggingface and streamlit

This is a language translator app using python and streamlit.

a simple language translator app built with python and using streamlit

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Streamlit app for Multi-language translator for travellers using the google Gemini API

A simple language translation web app built using Python, Streamlit, and Google Translator API.

A multi-language text translator app built with Python and Streamlit, using Google Translate API

Multilingual Translator App 🌍 | Built with Streamlit An AI-powered language translator built using Streamlit. This app translates text between 100+ languages with real-time input, text-to-speech, and voice recognition support. Ideal for language learners, travelers, and global users.

a simple and interactive language translation web app built using streamlit and google translator API that enables real-time translation between multiple languages

a simple and interactive language translation web app built using Streamlit and google translator API that enables real-time translation between multiple languages

A simple Language Translator web app built using Streamlit and deep-translator. It detects the source language automatically and translates text into multiple Indian and international languages through a clean, user-friendly interface.

Language Translator App This is a simple and interactive Language Translator web app built using Python, Streamlit, and Googletrans. The app enables users to translate text from one language to another in real-time using the power of Google's translation API.

A simple language translator app built with Streamlit and OpenAI, allowing users to translate text into different languages. The app provides an easy-to-use interface for seamless language conversion using OpenAI's language model. Tech Stack: Streamlit, OpenAI API, Python

AI Language Translator is a Streamlit web app that uses Hugging Face MarianMT models to provide real-time translations between multiple languages.

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🌍 AI Language Translator An intelligent and user-friendly AI Language Translator built with Python and Streamlit, designed to break language barriers in real-time. This app uses Deep Translator (Google API) to translate text into multiple languages with just a click — making it ideal for students, travelers, and global teams.

An interactive Streamlit-based translator app that converts text between multiple languages in real-time. Features a clean UI & easy deployment for public use.