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README.md

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----
-license: apache-2.0
----
+---
+license: mit
+---
+
+<div align="center">
+<p align="center">
+  <h2>Resonate: Reinforcing Text-to-Audio Generation with Online Feedbacks from Large Audio Language Models</h2>
+  <!-- <a href=>Paper</a> | <a href="https://meanaudio.github.io/">Webpage</a>  -->
+
+  <!-- [![Paper](https://img.shields.io/badge/Paper-arXiv-b31b1b?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2508.06098)
+  [![Code](https://img.shields.io/badge/Code-Repo-black?style=flat&logo=github&logoColor=white)](https://github.com/xiquan-li/MeanAudio?tab=readme-ov-file)
+  [![Hugging Face Model](https://img.shields.io/badge/Model-HuggingFace-yellow?logo=huggingface)](https://huggingface.co/AndreasXi/MeanAudio)
+  [![Hugging Face Space](https://img.shields.io/badge/Space-HuggingFace-blueviolet?logo=huggingface)](https://huggingface.co/spaces/chenxie95/MeanAudio)
+  [![Webpage](https://img.shields.io/badge/Website-Visit-orange?logo=googlechrome&logoColor=white)](https://meanaudio.github.io/) -->
+
+
+</p>
+</div>
+
+
+## Overview 
+Reosnate is a SOTA text-to-audio generator reinforced with online GRPO algorithm. 
+This repo provides a comprehensive pipeline for audio synthesis, covering Pre-training, SFT, DPO, and GRPO. 
+
+## Environmental Setup
+
+**1. Create a new conda environment:**
+
+```bash
+conda create -n meanaudio python=3.11 -y
+conda activate meanaudio
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 --upgrade
+```
+<!-- ```
+conda install -c conda-forge 'ffmpeg<7
+```
+(Optional, if you use miniforge and don't already have the appropriate ffmpeg) -->
+
+**2. Install with pip:**
+
+```bash
+git clone https://github.com/xiquan-li/MeanAudio.git
+
+cd MeanAudio
+pip install -e .
+```
+
+<!-- (If you encounter the File "setup.py" not found error, upgrade your pip with pip install --upgrade pip) -->
+
+
+## Quick Start
+
+<!-- **1. Download pre-trained models:** -->
+To generate audio with our pre-trained model, simply run: 
+```bash 
+python demo.py --prompt 'your prompt' --num_steps 1
+```
+This will automatically download the pre-trained checkpoints from huggingface, and generate audio according to your prompt. 
+The output audio will be at `MeanAudio/output/`, and the checkpoints will be at `MeanAudio/weights/`. 
+
+Have fun with MeanAudio 😊 !!!

Resonate_GRPO.pth

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Resonate_PT.pth

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+# BigVGAN
+alias_free_activation/cuda/build/
+exp/
+tmp/
+
+# VSCode configs
+.vscode/
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
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+# Distribution / packaging
+.Python
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+develop-eggs/
+dist/
+downloads/
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+lib/
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+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
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+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
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+# Scrapy stuff:
+.scrapy
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+# Sphinx documentation
+docs/_build/
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+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
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+# IPython
+profile_default/
+ipython_config.py
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
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+
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+/site
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+.dmypy.json
+dmypy.json
+
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+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+.idea/

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