iflow-mcp_neosun100_glm-asr

[English](README.md) | [简体中文](README_CN.md) | [繁體中文](README_TW.md) | [日本語](README_JP.md) <div align="center"> <img src="resources/logo.svg" width="20%"/> # GLM-ASR [](https://hub.docker.com/r/neosun/glm-asr) [](LICENSE) [](https://python.org) [](https://fastapi.tiangolo.com) **All-in-One Speech Recognition Service based on GLM-ASR-Nano** Web UI • REST API • SSE Streaming • Swagger Docs </div> --- ## 🖥️ Screenshot  --- ## ✨ Features - 🎯 **High Accuracy** - Based on GLM-ASR-Nano-2512 (1.5B), outperforms Whisper V3 - 🌍 **17 Languages** - Chinese, English, Cantonese, Japanese, Korean, and more - 🎤 **Long Audio** - VAD smart segmentation for unlimited audio length - 🚀 **SSE Streaming** - Real-time progress and results for long audio - 🖥️ **Web UI** - Modern dark-mode interface with 4 language support - 🔌 **REST API** - Full API with Swagger documentation - 💾 **GPU Management** - Manual load/unload for memory control - 🐳 **Docker Ready** - One-command deployment with pre-loaded model --- ## 🚀 Quick Start ### Docker (Recommended) ```bash docker run -d --gpus all -p 7860:7860 neosun/glm-asr:v2.0.1 ``` Access: - Web UI: http://localhost:7860 - Swagger Docs: http://localhost:7860/docs - ReDoc: http://localhost:7860/redoc ### Docker Compose ```bash git clone https://github.com/neosun100/glm-asr.git cd glm-asr docker compose up -d ``` --- ## 📖 API Reference ### Base URL ``` http://localhost:7860 ``` ### Endpoints #### Health Check ```http GET /health ``` ```json {"status": "ok", "model_loaded": true} ``` #### Transcribe (Sync) - For short audio ```http POST /api/transcribe Content-Type: multipart/form-data ``` | P…