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VideoChat download for Linux

Free download VideoChat Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named VideoChat whose latest release can be downloaded as VideoChatsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named VideoChat with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

SCREENSHOTS

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VideoChat


DESCRIPTION

VideoChat is a real-time voice-interactive “digital human” system that combines automatic speech recognition, large language models, text-to-speech, and talking-head generation into a single conversational pipeline. It supports both pure end-to-end voice solutions based on multimodal large language models (GLM-4-Voice feeding directly into talking-head generation) and a more traditional cascaded pipeline using ASR → LLM → TTS → talking head. It is built as a Gradio Python demo, exposing a web interface where users can talk to an animated avatar that lip-syncs to synthesized speech while responding intelligently. The system is customizable: you can define your own avatar appearance and voice, and it supports voice cloning so you can generate a new voice from a short 3–10 second reference sample. The tech stack integrates FunASR for speech recognition, Qwen for language understanding, multiple TTS engines like GPT-SoVITS, CosyVoice, or edge-tts, and MuseTalk for talking-head generation.



Features

  • Real-time voice-interactive digital human combining ASR, LLM, TTS, and talking-head generation in one demo
  • Supports end-to-end GLM-4-Voice pipelines and cascaded ASR → LLM → TTS → THG pipelines
  • Customizable avatar appearance and voice, with optional voice cloning from short reference samples
  • Uses modular components such as FunASR, Qwen, GPT-SoVITS, CosyVoice, edge-tts, and MuseTalk for flexibility
  • Gradio-based web interface for easy local deployment, experimentation, and demonstration
  • Low initial response latency (≈3 seconds) designed for smooth, interactive conversations


Programming Language

Python


Categories

Text to Speech

This is an application that can also be fetched from https://sourceforge.net/projects/videochat.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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