From bd1d7ced3b332c17f3328e52b66b0013dce87023 Mon Sep 17 00:00:00 2001 From: thinhlpg Date: Wed, 16 Apr 2025 03:05:32 +0000 Subject: [PATCH] docs: update project description and authors in pyproject.toml; reorganize demo section in README --- README.md | 28 ++++++++++++++-------------- pyproject.toml | 5 ++--- 2 files changed, 16 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index fd0adbc..b7385b6 100644 --- a/README.md +++ b/README.md @@ -10,20 +10,6 @@ ReZero trains a small language model to develop effective search behaviors inste -## Quick Demo 🚀 - -
- ReZero Demo -
- -Run the interactive web interface to see ReZero in action: - -```bash -python app.py -``` - -This will launch a Gradio interface where you can interact with the model and test different search behaviors. - ## Setup 🛠️ ```bash @@ -46,6 +32,20 @@ cp .env.example .env # Edit .env and add your Tavily API key if you want to use the websearch demo ``` +## Quick Demo 🚀 + +
+ ReZero Demo +
+ +Run the interactive web interface to see ReZero in action: + +```bash +python app.py +``` + +This will launch a Gradio interface where you can interact with the model and test different search behaviors. + ## Data and Training 🧠 All necessary training data is included in the `data/` folder. To train: diff --git a/pyproject.toml b/pyproject.toml index 3af8445..5df00c6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,9 +5,9 @@ build-backend = "flit_core.buildapi" [project] name = "src" version = "0.0.1" -description = "A short description of the project." +description = "ReZero: Enhancing LLM search ability by trying one-more-time" authors = [ - { name = "Your name (or your organization/company/team)" }, + { name = "Menlo Research" }, ] readme = "README.md" classifiers = [ @@ -38,6 +38,5 @@ dependencies = [ "requests>=2.31.0", "tqdm>=4.66.1", "tavily-python", - "sglang[all]>=0.4.5", "gdown", ] \ No newline at end of file