[Refactor] remove unused for mindsearch (#210)

InternLM · Jul 29, 2024 · d1a06ec · d1a06ec
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diff --git a/.dockerignore b/.dockerignore
diff --git a/Dockerfile b/Dockerfile
diff --git a/Dockerfile-base b/Dockerfile-base
diff --git a/README.md b/README.md
@@ -1,12 +1,6 @@
 <div id="top"></div>
-
-<div align="center">
-
-# Lagent $\times$ MindSearch<br>
-[Research Preview](https://mindsearch.netlify.app/) | [Paper]() | [Blog](https://mindsearch.netlify.app/mindsearch)
-</div>
-
 <div align="center">
+  <img src="docs/imgs/lagent_logo.png" width="450"/>
 
 [![docs](https://img.shields.io/badge/docs-latest-blue)](https://lagent.readthedocs.io/en/latest/)
 [![PyPI](https://img.shields.io/pypi/v/lagent)](https://pypi.org/project/lagent)
@@ -16,40 +10,70 @@
 ![Visitors](https://api.visitorbadge.io/api/visitors?path=InternLM%2Flagent%20&countColor=%23263759&style=flat)
 ![GitHub forks](https://img.shields.io/github/forks/InternLM/lagent)
 ![GitHub Repo stars](https://img.shields.io/github/stars/InternLM/lagent)
+![GitHub contributors](https://img.shields.io/github/contributors/InternLM/lagent)
 
-English | [简体中文](README_zh-CN.md)
+English | [简体中文](README_zh-CN.md) | [日本語](README_ja_JP.md) | [हिंदी](README_in_HIN.md) | [বাংলা](README_in_beng.md) | [한국어](README_KR_Kr.md)
 
 </div>
 
 <p align="center">
     👋 join us on <a href="https://twitter.com/intern_lm" target="_blank">𝕏 (Twitter)</a>, <a href="https://discord.gg/xa29JuW87d" target="_blank">Discord</a> and <a href="https://r.vansin.top/?r=internwx" target="_blank">WeChat</a>
 </p>
 
-## ✨ MindSearch: Towards Deeper and Wider AI Search Engine
+<div align="center">
+
+https://github.com/InternLM/lagent/assets/24622904/3242f9bf-32d2-4907-8815-e16a75a4ac0e
 
-#### Demo Video here
+</div>
 
-MindSearch is an open-source AI Search Engine Framework with Perplexity.ai Pro performance. You can simply deploy it with your own perplexity.ai style search engine with either close-source LLMs (GPT, Claude) or open-source LLMs (InternLM2.5-7b-chat). It owns following features:
-- 🤔 **Ask everything you want to know**: MindSearch is designed to solve any question in your life and use web knowledge.
-- 📚 **In-depth Knowledge Discovery**: MindSearch browses hundreds of web pages to answer your question, providing deeper and wider knowledge base answer.
-- 🔍 **Detailed Solution Path**: MindSearch exposes all details, allowing users to check everything they want. This greatly improves the credibility of its final response as well as usability.
-- 💻 **Optimized UI Experimence**: Providing all kinds of interfaces for users, including React, Streamlit, Terminal. Choose any type based on your need.
+## Getting Started
 
-## ⚡️ MindSearch vs other AI Search Engines
+Please see the [overview](docs/en/get_started/overview.md) for the general introduction of Lagent. Meanwhile, we provide extremely simple code for quick start. You may refer to [examples](examples/) for more details.
 
-Comparison on human preference based on depth, breadth, factuality of the response generated by ChatGPT-Web, Perplexity.ai (Pro), and MindSearch. Results are obtained on 100 human-crafted real-world questions and evaluated by 5 human experts *. 
-<div align="center">
-<img src="docs/imgs/mindsearch_openset.png" width="90%">
-</div>
-* All experiments are done before July.7 2024.
+### Installation
 
-## ⚽️ Getting Started
+Install with pip (Recommended).
 
-### Lagent Installation
+```bash
+pip install lagent
+```
 
-MindSearch backend with Lagent, please see the [overview](docs/en/get_started/overview.md) for the general introduction of Lagent. Meanwhile, we provide extremely simple code for quick start. You may refer to [examples](examples/) for more details.
+### Run a Web Demo
 
-### MindSearch
+You need to install Streamlit first.
+
+```bash
+# pip install streamlit
+streamlit run examples/internlm2_agent_web_demo.py
+```
+
+## What's Lagent?
+
+Lagent is a lightweight open-source framework that allows users to efficiently build large language model(LLM)-based agents. It also provides some typical tools to augment LLM. The overview of our framework is shown below:
+
+![image](https://github.com/InternLM/lagent/assets/24351120/cefc4145-2ad8-4f80-b88b-97c05d1b9d3e)
+
+## Major Features
+
+- Stream Output: Provides the `stream_chat` interface for streaming output, allowing cool streaming demos right at your local setup.
+- Interfacing is unified, with a comprehensive design upgrade for enhanced extensibility, including:
+  - Model: Whether it's the OpenAI API, Transformers, or LMDeploy inference acceleration framework, you can seamlessly switch between models.
+  - Action: Simple inheritance and decoration allow you to create your own personal toolkit, adaptable to both InternLM and GPT.
+  - Agent: Consistent with the Model's input interface, the transformation from model to intelligent agent only takes one step, facilitating the exploration and implementation of various agents.
+- Documentation has been thoroughly upgraded with full API documentation coverage.
+
+## 💻Tech Stack
+
+<p>
+  <a href="">
+    <img src="https://img.shields.io/badge/Python-007ACC?style=for-the-badge&logo=python&logoColor=yellow" alt="python" />
+  </a>
+
+### All Thanks To Our Contributors:
+
+<a href="https://github.com/InternLM/lagent/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=InternLM/lagent" />
+</a>
 
 ## Citation
 
@@ -66,4 +90,6 @@ If you find this project useful in your research, please consider cite:
 
 ## License
 
-This project is released under the [Apache 2.0 license](LICENSE).
+This project is released under the [Apache 2.0 license](LICENSE).
+
+<p align="right"><a href="#top">🔼 Back to top</a></p>
diff --git a/README_in_HIN.md b/README_in_HIN.md
@@ -0,0 +1,51 @@
+<div id="top"></div>
+<div align="center">
+  <img src="docs/imgs/lagent_logo.png" width="450"/>
+
+[![docs](https://img.shields.io/badge/docs-latest-blue)](https://lagent.readthedocs.io/en/latest/)
+[![PyPI](https://img.shields.io/pypi/v/lagent)](https://pypi.org/project/lagent)
+[![license](https://img.shields.io/github/license/InternLM/lagent.svg)](https://github.com/InternLM/lagent/tree/main/LICENSE)
+[![issue resolution](https://img.shields.io/github/issues-closed-raw/InternLM/lagent)](https://github.com/InternLM/lagent/issues)
+[![open issues](https://img.shields.io/github/issues-raw/InternLM/lagent)](https://github.com/InternLM/lagent/issues)
+
+English | [简体中文](README_zh-CN.md) | [日本語](README_ja_JP.md) | [हिंदी](README_in_HIN.md) | [বাংলা](README_in_beng.md) | [한국어](README_KR_Kr.md)
+
+</div>
+
+<div align="center">
+
+https://github.com/InternLM/lagent/assets/24622904/cb851b31-6932-422e-a776-b1aa68f2a64f
+
+</div>
+
+## शुरू करना
+
+लैजेंट के सामान्य परिचय के लिए कृपया [अवलोकन](docs/in/get_started/overview.md) देखें। इस बीच, हम त्वरित शुरुआत के लिए अत्यंत सरल कोड प्रदान करते हैं। अधिक जानकारी के लिए आप [उदाहरण](examples/) अधिक जानकारी के लिए।
+
+### इंस्टालेशन
+
+pip के साथ स्थापित करें (अनुशंसित)।
+
+```bash
+pip install lagent
+```
+
+### वेब डेमो चलाएँ
+
+```bash
+# You need to install streamlit first
+# pip install streamlit
+streamlit run examples/internlm2_agent_web_demo.py
+```
+
+## परिचय
+
+Lagent एक हल्का ओपन-सोर्स फ्रेमवर्क है जो उपयोगकर्ताओं को बड़े भाषा मॉडल (एलएलएम)-आधारित एजेंटों को कुशलतापूर्वक बनाने की अनुमति देता है। यह एलएलएम को बढ़ाने के लिए कुछ विशिष्ट उपकरण भी प्रदान करता है। हमारे ढांचे का अवलोकन नीचे दिखाया गया है:
+
+![image](https://github.com/InternLM/lagent/assets/24351120/cefc4145-2ad8-4f80-b88b-97c05d1b9d3e)
+
+## लाइसेंस
+
+यह प्रोजेक्ट [Apache 2.0 license](LICENSE) के तहत जारी किया गया है।
+
+<p align="right"><a href="#top">🔼 Back to top</a></p>
diff --git a/README_in_beng.md b/README_in_beng.md
@@ -0,0 +1,55 @@
+<div id="top"></div>
+<div align="center">
+  <img src="docs/imgs/lagent_logo.png" width="450"/>
+
+[![docs](https://img.shields.io/badge/docs-latest-blue)](https://lagent.readthedocs.io/en/latest/)
+[![PyPI](https://img.shields.io/pypi/v/lagent)](https://pypi.org/project/lagent)
+[![license](https://img.shields.io/github/license/InternLM/lagent.svg)](https://github.com/InternLM/lagent/tree/main/LICENSE)
+[![issue resolution](https://img.shields.io/github/issues-closed-raw/InternLM/lagent)](https://github.com/InternLM/lagent/issues)
+[![open issues](https://img.shields.io/github/issues-raw/InternLM/lagent)](https://github.com/InternLM/lagent/issues)
+
+English | [简体中文](README_zh-CN.md) | [日本語](README_ja_JP.md) | [हिंदी](README_in_HIN.md) | [বাংলা](README_in_beng.md) | [한국어](README_KR_Kr.md)
+
+</div>
+
+<p align="center">
+    👋 <a href="https://twitter.com/intern_lm" target="_blank">Twitter</a>, <a href="https://discord.gg/xa29JuW87d" target="_blank">Discord</a> এবং <a href="https://r.vansin.top/?r=internwx" target="_blank">WeChat</a> সাথে আমাদের সাথে যোগদান করুন
+</p>
+
+<div align="center">
+
+https://github.com/InternLM/lagent/assets/24622904/cb851b31-6932-422e-a776-b1aa68f2a64f
+
+</div>
+
+## শুরু করা
+
+লেজেন্টের সাধারণ পরিচিতির জন্য [অবলো](docs/en/get_started/overview.md) দেখ
+
+## ইনস্টলেশন
+
+পিপ দিয়ে ইনস্টল করুন (সুপারিশ).
+
+```bash
+pip install lagent
+```
+
+### ওয়েব ডেমো চালান
+
+```bash
+# You need to install streamlit first
+# pip install streamlit
+streamlit run examples/internlm2_agent_web_demo.py
+```
+
+## পরিচিতি
+
+লেজেন্ট হল একটি হালকা ওপেন-সোর্স ফ্রেমওয়ার্ক, যা ব্যবহারকারীদের দ্বারা প্রশাসক ভাষা মডেল (LLM) ভিত্তিক এজেন্ট সৃজনশীলভাবে তৈরি করতে দেয়। এটি লেজেন্ট যেসব প্রধান সরঞ্জাম সরবরাহ করে, সেটি নীচে দেখানো হয়:
+
+![image](https://github.com/InternLM/lagent/assets/24351120/cefc4145-2ad8-4f80-b88b-97c05d1b9d3e)
+
+## লাইসেন্স
+
+এই প্রকল্পটি [Apache 2.0 license](LICENSE) অনুসরণ করে প্রকাশিত হয়।
+
+<p align="right"><a href="#top">🔼 Back to top</a></p>
diff --git a/README_ja_JP.md b/README_ja_JP.md
@@ -0,0 +1,56 @@
+<div id="top"></div>
+<div align="center">
+  <img src="docs/imgs/lagent_logo.png" width="450"/>
+
+[![docs](https://img.shields.io/badge/docs-latest-blue)](https://lagent.readthedocs.io/en/latest/)
+[![PyPI](https://img.shields.io/pypi/v/lagent)](https://pypi.org/project/lagent)
+[![license](https://img.shields.io/github/license/InternLM/lagent.svg)](https://github.com/InternLM/lagent/tree/main/LICENSE)
+[![issue resolution](https://img.shields.io/github/issues-closed-raw/InternLM/lagent)](https://github.com/InternLM/lagent/issues)
+[![open issues](https://img.shields.io/github/issues-raw/InternLM/lagent)](https://github.com/InternLM/lagent/issues)
+
+English | [简体中文](README_zh-CN.md) | [日本語](README_ja_JP.md) | [हिंदी](README_in_HIN.md) | [বাংলা](README_in_beng.md) | [한국어](README_KR_Kr.md)
+
+</div>
+
+<p align="center">
+    👋 <a href="https://twitter.com/intern_lm" target="_blank">Twitter</a>, <a href="https://discord.gg/xa29JuW87d" target="_blank">Discord</a> そして <a href="https://r.vansin.top/?r=internwx" target="_blank">WeChat</a> に参加する
+</p>
+
+<div align="center">
+
+https://github.com/InternLM/lagent/assets/24622904/cb851b31-6932-422e-a776-b1aa68f2a64f
+
+</div>
+
+## はじめに
+
+Lagent の概要については[概要](docs/ja/get_started/overview.md)をご覧ください。また、クイックスタートのために非常にシンプルなコードを用意しています。詳細は [examples](examples/) を参照してください。
+
+### インストール
+
+pip でインストールする（推奨）。
+
+```bash
+pip install lagent
+```
+
+### ウェブデモの実行
+
+最初に streamlit をインストールする必要があります
+
+```bash
+# pip install streamlit
+streamlit run examples/internlm2_agent_web_demo.py
+```
+
+## はじめに
+
+Lagent は、大規模言語モデル(LLM)ベースのエージェントを効率的に構築できる軽量なオープンソースフレームワークです。また、LLM を拡張するための典型的なツールも提供します。我々のフレームワークの概要を以下に示します:
+
+![image](https://github.com/InternLM/lagent/assets/24351120/cefc4145-2ad8-4f80-b88b-97c05d1b9d3e)
+
+## ライセンス
+
+このプロジェクトは [Apache 2.0 license](LICENSE) の下でリリースされています。
+
+<p align="right"><a href="#top">🔼 Back to top</a></p>