CC/gpt_academic
1
0
Fork 0
Code Issues Pull Requests Actions 1 Packages Projects Releases Wiki Activity

readme translation

Browse Source
This commit is contained in:
qingxu fu
2023-05-25 14:20:20 +08:00
parent 12710ff1fa
commit 3da12b5bf7
9 changed files with 1711 additions and 762 deletions
Download Patch File Download Diff File Expand all files Collapse all files

394
docs/README_EN.md
View File

@@ -2,204 +2,192 @@
>
> This English README is automatically generated by the markdown translation plugin in this project, and may not be 100% correct.
>
# <img src="logo.png" width="40" > ChatGPT Academic Optimization
**If you like this project, please give it a Star. If you've come up with more useful academic shortcuts or functional plugins, feel free to open an issue or pull request. We also have a [README in English](docs/README_EN.md) translated by this project itself.**
> **Note**
>
> 1. Please note that only **functions with red color** supports reading files, some functions are located in the **dropdown menu** of plugins. Additionally, we welcome and prioritize any new plugin PRs with **highest priority**!
>
> 2. The functionality of each file in this project is detailed in the self-translation report [`self_analysis.md`](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) of the project. With the iteration of the version, you can also click on the relevant function plugins at any time to call GPT to regenerate the self-analysis report of the project. The FAQ summary is in the [`wiki`](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98) section.
> When installing dependencies, **please strictly select the versions** specified in requirements.txt.
>
> `pip install -r requirements.txt`
# GPT Academic Optimization (GPT Academic)
<div align="center">
Function | Description
**If you like this project, please give it a Star. If you've come up with more useful academic shortcuts or functional plugins, feel free to open an issue or pull request.
To translate this project to arbitary language with GPT, read and run [`multi_language.py`](multi_language.py) (experimental).**
> Note:
>
> 1. Please note that only the function plugins (buttons) marked in **red** support reading files. Some plugins are in the **drop-down menu** in the plugin area. We welcome and process any new plugins with the **highest priority**!
> 2. The function of each file in this project is detailed in the self-translation analysis [`self_analysis.md`](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A). With version iteration, you can also click on related function plugins at any time to call GPT to regenerate the project's self-analysis report. Common questions are summarized in the [`wiki`](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98). [Installation method](#installation).
> 3. This project is compatible with and encourages trying domestic large language models such as chatglm, RWKV, Pangu, etc. Multiple API keys are supported and can be filled in the configuration file like `API_KEY="openai-key1,openai-key2,api2d-key3"`. When temporarily changing `API_KEY`, enter the temporary `API_KEY` in the input area and press enter to submit, which will take effect.
<div align="center">Function | Description
--- | ---
One-Click Polish | Supports one-click polishing and finding grammar errors in academic papers.
One-Key Translation Between Chinese and English | One-click translation between Chinese and English.
One-Key Code Interpretation | Can correctly display and interpret code.
[Custom Shortcut Keys](https://www.bilibili.com/video/BV14s4y1E7jN) | Supports custom shortcut keys.
[Configure Proxy Server](https://www.bilibili.com/video/BV1rc411W7Dr) | Supports configuring proxy servers.
Modular Design | Supports custom high-order function plugins and [function plugins], and plugins support [hot updates](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97).
[Self-programming Analysis](https://www.bilibili.com/video/BV1cj411A7VW) | [Function Plugin] [One-Key Read] (https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) The source code of this project is analyzed.
[Program Analysis](https://www.bilibili.com/video/BV1cj411A7VW) | [Function Plugin] One-click can analyze the project tree of other Python/C/C++/Java/Lua/... projects
Read the Paper | [Function Plugin] One-click interpretation of the full text of latex paper and generation of abstracts
Latex Full Text Translation, Proofreading | [Function Plugin] One-click translation or proofreading of latex papers.
Batch Comment Generation | [Function Plugin] One-click batch generation of function comments
Chat Analysis Report Generation | [Function Plugin] After running, an automatic summary report will be generated
[Arxiv Assistant](https://www.bilibili.com/video/BV1LM4y1279X) | [Function Plugin] Enter the arxiv article url to translate the abstract and download the PDF with one click
[Full-text Translation Function of PDF Paper](https://www.bilibili.com/video/BV1KT411x7Wn) | [Function Plugin] Extract the title & abstract of the PDF paper + translate the full text (multithreading)
[Google Scholar Integration Assistant](https://www.bilibili.com/video/BV19L411U7ia) | [Function Plugin] Given any Google Scholar search page URL, let gpt help you choose interesting articles.
Formula / Picture / Table Display | Can display both the tex form and the rendering form of formulas at the same time, support formula and code highlighting
Multithreaded Function Plugin Support | Supports multi-threaded calling chatgpt, one-click processing of massive text or programs
Start Dark Gradio [Theme](https://github.com/binary-husky/chatgpt_academic/issues/173) | Add ```/?__dark-theme=true``` at the end of the browser url to switch to dark theme
[Multiple LLM Models](https://www.bilibili.com/video/BV1wT411p7yf) support, [API2D](https://api2d.com/) interface support | It must feel nice to be served by both GPT3.5, GPT4, and [Tsinghua ChatGLM](https://github.com/THUDM/ChatGLM-6B)!
Huggingface non-Science Net [Online Experience](https://huggingface.co/spaces/qingxu98/gpt-academic) | After logging in to huggingface, copy [this space](https://huggingface.co/spaces/qingxu98/gpt-academic)
... | ...
One-click polishing | Supports one-click polishing and one-click searching for grammar errors in papers.
One-click Chinese-English translation | One-click Chinese-English translation.
One-click code interpretation | Displays, explains, generates, and adds comments to code.
[Custom shortcut keys](https://www.bilibili.com/video/BV14s4y1E7jN) | Supports custom shortcut keys.
Modular design | Supports custom powerful [function plug-ins](https://github.com/binary-husky/chatgpt_academic/tree/master/crazy_functions), plug-ins support [hot update](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97).
[Self-program profiling](https://www.bilibili.com/video/BV1cj411A7VW) | [Function plug-in] [One-click understanding](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) of the source code of this project
[Program profiling](https://www.bilibili.com/video/BV1cj411A7VW) | [Function plug-in] One-click profiling of other project trees in Python/C/C++/Java/Lua/...
Reading papers, [translating](https://www.bilibili.com/video/BV1KT411x7Wn) papers | [Function Plug-in] One-click interpretation of latex/pdf full-text papers and generation of abstracts.
Latex full-text [translation](https://www.bilibili.com/video/BV1nk4y1Y7Js/), [polishing](https://www.bilibili.com/video/BV1FT411H7c5/) | [Function plug-in] One-click translation or polishing of latex papers.
Batch annotation generation | [Function plug-in] One-click batch generation of function annotations.
Markdown [Chinese-English translation](https://www.bilibili.com/video/BV1yo4y157jV/) | [Function plug-in] Have you seen the [README](https://github.com/binary-husky/chatgpt_academic/blob/master/docs/README_EN.md) in the five languages above?
Chat analysis report generation | [Function plug-in] Automatically generate summary reports after running.
[PDF full-text translation function](https://www.bilibili.com/video/BV1KT411x7Wn) | [Function plug-in] PDF paper extract title & summary + translate full text (multi-threaded)
[Arxiv Assistant](https://www.bilibili.com/video/BV1LM4y1279X) | [Function plug-in] Enter the arxiv article url and you can translate abstracts and download PDFs with one click.
[Google Scholar Integration Assistant](https://www.bilibili.com/video/BV19L411U7ia) | [Function plug-in] Given any Google Scholar search page URL, let GPT help you [write relatedworks](https://www.bilibili.com/video/BV1GP411U7Az/)
Internet information aggregation+GPT | [Function plug-in] One-click [let GPT get information from the Internet first](https://www.bilibili.com/video/BV1om4y127ck), then answer questions, and let the information never be outdated.
Formula/image/table display | Can display formulas in both [tex form and render form](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png), support formulas and code highlighting.
Multi-threaded function plug-in support | Supports multi-threaded calling of chatgpt, and can process [massive text](https://www.bilibili.com/video/BV1FT411H7c5/) or programs with one click.
Start Dark Gradio [theme](https://github.com/binary-husky/chatgpt_academic/issues/173) | Add ```/?__theme=dark``` after the browser URL to switch to the dark theme.
[Multiple LLM models](https://www.bilibili.com/video/BV1wT411p7yf) support, [API2D](https://api2d.com/) interface support | The feeling of being served by GPT3.5, GPT4, [Tsinghua ChatGLM](https://github.com/THUDM/ChatGLM-6B), and [Fudan MOSS](https://github.com/OpenLMLab/MOSS) at the same time must be great, right?
More LLM model access, support [huggingface deployment](https://huggingface.co/spaces/qingxu98/gpt-academic) | Add Newbing interface (New Bing), introduce Tsinghua [Jittorllms](https://github.com/Jittor/JittorLLMs) to support [LLaMA](https://github.com/facebookresearch/llama), [RWKV](https://github.com/BlinkDL/ChatRWKV) and [Panguα](https://openi.org.cn/pangu/)
More new feature displays (image generation, etc.)…… | See the end of this document for more...
</div>
- New interface (switch between "left-right layout" and "up-down layout" by modifying the LAYOUT option in config.py)
- New interface (modify the LAYOUT option in `config.py` to switch between "left and right layout" and "up and down layout")
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/230361456-61078362-a966-4eb5-b49e-3c62ef18b860.gif" width="700" >
</div>
- All buttons are dynamically generated by reading functional.py and can add custom functionality at will, freeing up clipboard
</div>- All buttons are dynamically generated by reading `functional.py`, and you can add custom functions freely to unleash the power of clipboard.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/231975334-b4788e91-4887-412f-8b43-2b9c5f41d248.gif" width="700" >
</div>
- Proofreading / correcting
- polishing/correction
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/231980294-f374bdcb-3309-4560-b424-38ef39f04ebd.gif" width="700" >
</div>
- If the output contains formulas, it will be displayed in both the tex form and the rendering form at the same time, which is convenient for copying and reading
- If the output contains formulas, they will be displayed in both `tex` and render form, making it easy to copy and read.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png" width="700" >
</div>
- Don't want to read the project code? Just take the whole project to chatgpt
- Tired of reading the project code? ChatGPT can explain it all.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="700" >
</div>
- Multiple major language model mixing calls (ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4)
- Multiple large language models are mixed, such as ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/232537274-deca0563-7aa6-4b5d-94a2-b7c453c47794.png" width="700" >
</div>
Multiple major language model mixing call [huggingface beta version](https://huggingface.co/spaces/qingxu98/academic-chatgpt-beta) (the huggingface version does not support chatglm)
---
# Installation
## Method 1: Directly running (Windows, Linux or MacOS)
## Installation-Method 1: Run directly (Windows, Linux or MacOS)
1. Download project
1. Download the project
```sh
git clone https://github.com/binary-husky/chatgpt_academic.git
cd chatgpt_academic
```
2. Configure API_KEY and proxy settings
2. Configure the API_KEY
Configure the API KEY in `config.py`, [special network environment settings](https://github.com/binary-husky/gpt_academic/issues/1).
(P.S. When the program is running, it will first check if there is a private configuration file named `config_private.py` and use the configurations in it to override the same configurations in `config.py`. Therefore, if you can understand our configuration reading logic, we strongly recommend that you create a new configuration file named `config_private.py` next to `config.py` and transfer (copy) the configurations in `config.py` to `config_private.py`. `config_private.py` is not controlled by git and can make your private information more secure. P.S. The project also supports configuring most options through `environment variables`. Please refer to the format of `docker-compose` file when writing. Reading priority: `environment variables` > `config_private.py` > `config.py`)
In `config.py`, configure the overseas Proxy and OpenAI API KEY as follows:
```
1. If you are in China, you need to set up an overseas proxy to use the OpenAI API smoothly. Please read config.py carefully for setup details (1. Modify USE_PROXY to True; 2. Modify proxies according to the instructions).
2. Configure the OpenAI API KEY. You need to register and obtain an API KEY on the OpenAI website. Once you get the API KEY, you can configure it in the config.py file.
3. Issues related to proxy networks (network timeouts, proxy failures) are summarized at https://github.com/binary-husky/chatgpt_academic/issues/1
```
(P.S. When the program runs, it will first check whether there is a private configuration file named `config_private.py` and use the same-name configuration in `config.py` to overwrite it. Therefore, if you can understand our configuration reading logic, we strongly recommend that you create a new configuration file named `config_private.py` next to `config.py` and transfer (copy) the configuration in `config.py` to` config_private.py`. `config_private.py` is not controlled by git and can make your privacy information more secure.))
3. Install dependencies
3. Install the dependencies
```sh
# (Option One) Recommended
python -m pip install -r requirements.txt
# (Option I: If familiar with python) (python version 3.9 or above, the newer the better), note: use official pip source or Ali pip source, temporary switching method: python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
python -m pip install -r requirements.txt
# (Option Two) If you use anaconda, the steps are similar:
# (Option Two.1) conda create -n gptac_venv python=3.11
# (Option Two.2) conda activate gptac_venv
# (Option Two.3) python -m pip install -r requirements.txt
# Note: Use official pip source or Ali pip source. Other pip sources (such as some university pips) may have problems, and temporary replacement methods are as follows:
# python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
# (Option II: If not familiar with python) Use anaconda, the steps are similar (https://www.bilibili.com/video/BV1rc411W7Dr):
conda create -n gptac_venv python=3.11 # create anaconda environment
conda activate gptac_venv # activate anaconda environment
python -m pip install -r requirements.txt # this step is the same as pip installation
```
If you need to support Tsinghua ChatGLM, you need to install more dependencies (if you are not familiar with python or your computer configuration is not good, we recommend not to try):
<details><summary>If you need to support Tsinghua ChatGLM/Fudan MOSS as a backend, click to expand</summary>
<p>
[Optional step] If you need to support Tsinghua ChatGLM/Fudan MOSS as a backend, you need to install more dependencies (prerequisites: familiar with Python + used Pytorch + computer configuration is strong enough):
```sh
python -m pip install -r request_llm/requirements_chatglm.txt
# [Optional Step I] Support Tsinghua ChatGLM. Tsinghua ChatGLM remarks: if you encounter the "Call ChatGLM fail cannot load ChatGLM parameters" error, refer to this: 1: The default installation above is torch + cpu version, to use cuda, you need to uninstall torch and reinstall torch + cuda; 2: If the model cannot be loaded due to insufficient local configuration, you can modify the model accuracy in request_llm/bridge_chatglm.py, and change AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) to AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code = True)
python -m pip install -r request_llm/requirements_chatglm.txt
# [Optional Step II] Support Fudan MOSS
python -m pip install -r request_llm/requirements_moss.txt
git clone https://github.com/OpenLMLab/MOSS.git request_llm/moss # When executing this line of code, you must be in the root directory of the project
# [Optional Step III] Make sure the AVAIL_LLM_MODELS in the config.py configuration file includes the expected models. Currently supported models are as follows (the jittorllms series only supports the docker solution for the time being):
AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing", "moss"] # + ["jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]
```
4. Run
</p>
</details>
4. Run it
```sh
python main.py
```5. Test Function Plugin
```
5. Test function plugins
```
- Test Python project analysis
In the input area, enter `./crazy_functions/test_project/python/dqn`, and then click "Analyze the entire Python project"
- Test self-code interpretation
Click "[Multithreading Demo] Interpretation of This Project Itself (Source Code Interpretation)"
- Test experimental function template function (requires gpt to answer what happened today in history). You can use this function as a template to implement more complex functions.
- Test function plugin template function (ask GPT what happened today in history), based on which you can implement more complex functions as a template
Click "[Function Plugin Template Demo] Today in History"
- There are more functions to choose from in the function plugin area drop-down menu.
```
## Installation-Method 2: Use Docker (Linux)
## Installation - Method 2: Using Docker
1. ChatGPT Only (Recommended for Most People)
1. ChatGPT only (recommended for most people)
``` sh
# download project
git clone https://github.com/binary-husky/chatgpt_academic.git
cd chatgpt_academic
# configure overseas Proxy and OpenAI API KEY
Edit config.py with any text editor
# Install
docker build -t gpt-academic .
# Run
git clone https://github.com/binary-husky/chatgpt_academic.git # Download project
cd chatgpt_academic # Enter path
nano config.py # Edit config.py with any text editor, configure "Proxy", "API_KEY" and "WEB_PORT" (e.g. 50923), etc.
docker build -t gpt-academic . # Install
#(Last step - option 1) In a Linux environment, use `--net=host` for convenience and speed.
docker run --rm -it --net=host gpt-academic
# Test function plug-in
## Test function plugin template function (requires gpt to answer what happened today in history). You can use this function as a template to implement more complex functions.
Click "[Function Plugin Template Demo] Today in History"
## Test Abstract Writing for Latex Projects
Enter ./crazy_functions/test_project/latex/attention in the input area, and then click "Read Tex Paper and Write Abstract"
## Test Python Project Analysis
Enter ./crazy_functions/test_project/python/dqn in the input area and click "Analyze the entire Python project."
More functions are available in the function plugin area drop-down menu.
#(Last step - option 2) On macOS/windows environment, only -p option can be used to expose the container's port (e.g. 50923) to the port of the main machine.
docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic
```
2. ChatGPT+ChatGLM (requires strong familiarity with docker + strong computer configuration)
2. ChatGPT + ChatGLM + MOSS (Requires Docker Knowledge)
``` sh
# Modify dockerfile
cd docs && nano Dockerfile+ChatGLM
# How to build | 如何构建 （Dockerfile+ChatGLM在docs路径下，请先cd docs）
docker build -t gpt-academic --network=host -f Dockerfile+ChatGLM .
# How to run | 如何运行 (1) 直接运行:
docker run --rm -it --net=host --gpus=all gpt-academic
# How to run | 如何运行 (2) 我想运行之前进容器做一些调整:
docker run --rm -it --net=host --gpus=all gpt-academic bash
# Modify docker-compose.yml, delete Plan 1 and Plan 3, and keep Plan 2. Modify the configuration of Plan 2 in docker-compose.yml, refer to the comments in it for configuration.
docker-compose up
```
3. ChatGPT + LLAMA + Pangu + RWKV (Requires Docker Knowledge)
## Installation-Method 3: Other Deployment Methods
``` sh
# Modify docker-compose.yml, delete Plan 1 and Plan 2, and keep Plan 3. Modify the configuration of Plan 3 in docker-compose.yml, refer to the comments in it for configuration.
docker-compose up
```
1. Remote Cloud Server Deployment
Please visit [Deployment Wiki-1] (https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
## Installation - Method 3: Other Deployment Options
2. Use WSL2 (Windows Subsystem for Linux)
1. How to Use Reverse Proxy URL/Microsoft Cloud Azure API
Configure API_URL_REDIRECT according to the instructions in 'config.py'.
2. Deploy to a Remote Server (Requires Knowledge and Experience with Cloud Servers)
Please visit [Deployment Wiki-1](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
3. Using WSL2 (Windows Subsystem for Linux)
Please visit [Deployment Wiki-2](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)
4. How to Run Under a Subdomain (e.g. `http://localhost/subpath`)
Please visit [FastAPI Running Instructions](docs/WithFastapi.md)
## Installation-Proxy Configuration
### Method 1: Conventional method
[Configure Proxy](https://github.com/binary-husky/chatgpt_academic/issues/1)
### Method Two: Step-by-step tutorial for newcomers
[Step-by-step tutorial for newcomers](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BB%A3%E7%90%86%E8%BD%AF%E4%BB%B6%E9%97%AE%E9%A2%98%E7%9A%84%E6%96%B0%E6%89%8B%E8%A7%A3%E5%86%B3%E6%96%B9%E6%B3%95%EF%BC%88%E6%96%B9%E6%B3%95%E5%8F%AA%E9%80%82%E7%94%A8%E4%BA%8E%E6%96%B0%E6%89%8B%EF%BC%89)
5. Using docker-compose to Run
Read the docker-compose.yml and follow the prompts.
---
# Advanced Usage
## Custom New Shortcut Buttons / Custom Function Plugins
## Customizing Convenient Buttons (Customizing Academic Shortcuts)
Open `core_functional.py` with any text editor and add an item as follows, then restart the program (if the button has been successfully added and visible, both the prefix and suffix support hot modification without the need to restart the program to take effect). For example:
1. Custom New Shortcut Buttons (Academic Hotkey)
Open `core_functional.py` with any text editor, add an entry as follows and restart the program. (If the button has been successfully added and is visible, the prefix and suffix can be hot-modified without having to restart the program.)
For example,
```
"Super English to Chinese translation": {
# Prefix, which will be added before your input. For example, to describe your requirements, such as translation, code interpretation, polishing, etc.
"Prefix": "Please translate the following content into Chinese and use a markdown table to interpret the proprietary terms in the text one by one:\n\n",
# Suffix, which will be added after your input. For example, combined with the prefix, you can put your input content in quotes.
"Super English-to-Chinese": {
# Prefix, which will be added before your input. For example, used to describe your requests, such as translation, code explanation, polishing, etc.
"Prefix": "Please translate the following content into Chinese and then use a markdown table to explain the proprietary terms that appear in the text：\n\n",
# Suffix, which is added after your input. For example, with the prefix, your input content can be surrounded by quotes.
"Suffix": "",
},
```
@@ -207,85 +195,125 @@ Open `core_functional.py` with any text editor and add an item as follows, then
<img src="https://user-images.githubusercontent.com/96192199/226899272-477c2134-ed71-4326-810c-29891fe4a508.png" width="500" >
</div>
2. Custom Function Plugins
Write powerful function plugins to perform any task you can think of, even those you cannot think of.
The difficulty of plugin writing and debugging in this project is very low. As long as you have a certain knowledge of Python, you can implement your own plug-in functions based on the template we provide.
For details, please refer to the [Function Plugin Guide](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97).
---
## Some Function Displays
### Image Display:
You are a professional academic paper translator.
# Latest Update
## New Feature Dynamics
1. Conversation saving function. Call `Save current conversation` in the function plugin area to save the current conversation as a readable and recoverable HTML file. In addition, call `Load conversation history archive` in the function plugin area (dropdown menu) to restore previous sessions. Tip: Clicking `Load conversation history archive` without specifying a file will display the cached history of HTML archives, and clicking `Delete all local conversation history` will delete all HTML archive caches.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/228737599-bf0a9d9c-1808-4f43-ae15-dfcc7af0f295.png" width="800" >
<img src="https://user-images.githubusercontent.com/96192199/235222390-24a9acc0-680f-49f5-bc81-2f3161f1e049.png" width="500" >
</div>
### If a program can understand and analyze itself:
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226936850-c77d7183-0749-4c1c-9875-fd4891842d0c.png" width="800" >
</div>
2. Report generation. Most plugins will generate work reports after execution.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226936618-9b487e4b-ab5b-4b6e-84c6-16942102e917.png" width="800" >
</div>
### Analysis of any Python/Cpp project:
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="800" >
</div>
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226969067-968a27c1-1b9c-486b-8b81-ab2de8d3f88a.png" width="800" >
</div>
### One-click reading comprehension and summary generation of Latex papers
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/227504406-86ab97cd-f208-41c3-8e4a-7000e51cf980.png" width="800" >
</div>
### Automatic report generation
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/227503770-fe29ce2c-53fd-47b0-b0ff-93805f0c2ff4.png" height="300" >
<img src="https://user-images.githubusercontent.com/96192199/227504617-7a497bb3-0a2a-4b50-9a8a-95ae60ea7afd.png" height="300" >
<img src="https://user-images.githubusercontent.com/96192199/227504005-efeaefe0-b687-49d0-bf95-2d7b7e66c348.png" height="300" >
</div>
### Modular functional design
3. Modular function design with simple interfaces that support powerful functions.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/229288270-093643c1-0018-487a-81e6-1d7809b6e90f.png" height="400" >
<img src="https://user-images.githubusercontent.com/96192199/227504931-19955f78-45cd-4d1c-adac-e71e50957915.png" height="400" >
</div>
### Source code translation to English
4. This is an open-source project that can "self-translate".
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/229720562-fe6c3508-6142-4635-a83d-21eb3669baee.png" height="400" >
<img src="https://user-images.githubusercontent.com/96192199/226936850-c77d7183-0749-4c1c-9875-fd4891842d0c.png" width="500" >
</div>
## Todo and version planning:
- version 3.2+ (todo): Function plugin supports more parameter interfaces
- version 3.1: Support for inquiring multiple GPT models at the same time! Support for api2d, support for multiple apikeys load balancing
- version 3.0: Support for chatglm and other small llms
- version 2.6: Refactored the plugin structure, improved interactivity, added more plugins
- version 2.5: Self-updating, solves the problem of text being too long and token overflowing when summarizing large project source code
- version 2.4: (1) Added PDF full text translation function; (2) Added function to switch input area position; (3) Added vertical layout option; (4) Multi-threaded function plugin optimization.
- version 2.3: Enhanced multi-threaded interactivity
- version 2.2: Function plugin supports hot reloading
- version 2.1: Foldable layout
- version 2.0: Introduction of modular function plugins
- version 1.0: Basic functions
5. Translating other open-source projects is a piece of cake.
## Reference and learning
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="500" >
</div>
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226969067-968a27c1-1b9c-486b-8b81-ab2de8d3f88a.png" width="500" >
</div>
6. A small feature decorated with [live2d](https://github.com/fghrsh/live2d_demo) (disabled by default, need to modify `config.py`).
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/236432361-67739153-73e8-43fe-8111-b61296edabd9.png" width="500" >
</div>
7. Added MOSS large language model support.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/236639178-92836f37-13af-4fdd-984d-b4450fe30336.png" width="500" >
</div>
8. OpenAI image generation.
<div align="center">
<img src="https://github.com/binary-husky/gpt_academic/assets/96192199/bc7ab234-ad90-48a0-8d62-f703d9e74665" width="500" >
</div>
9. OpenAI audio parsing and summarization.
<div align="center">
<img src="https://github.com/binary-husky/gpt_academic/assets/96192199/709ccf95-3aee-498a-934a-e1c22d3d5d5b" width="500" >
</div>
10. Full-text proofreading and error correction of LaTeX.
<div align="center">
<img src="https://github.com/binary-husky/gpt_academic/assets/96192199/651ccd98-02c9-4464-91e1-77a6b7d1b033" width="500" >
</div>
## Versions:
- version 3.5(Todo): Use natural language to call all function plugins of this project (high priority).
- version 3.4(Todo): Improve multi-threading support for chatglm local large models.
- version 3.3: +Internet information integration function.
- version 3.2: Function plugin supports more parameter interfaces (save conversation function, interpretation of any language code + simultaneous inquiry of any LLM combination).
- version 3.1: Support simultaneous inquiry of multiple GPT models! Support api2d, and support load balancing of multiple apikeys.
- version 3.0: Support chatglm and other small LLM models.
- version 2.6: Refactored plugin structure, improved interactivity, and added more plugins.
- version 2.5: Self-updating, solving the problem of text overflow and token overflow when summarizing large engineering source codes.
- version 2.4: (1) Added PDF full-text translation function; (2) Added the function of switching the position of the input area; (3) Added vertical layout option; (4) Optimized multi-threading function plugins.
- version 2.3: Enhanced multi-threading interactivity.
- version 2.2: Function plugin supports hot reloading.
- version 2.1: Collapsible layout.
- version 2.0: Introduction of modular function plugins.
- version 1.0: Basic functions.
gpt_academic Developer QQ Group-2: 610599535
- Known Issues
- Some browser translation plugins interfere with the front-end operation of this software.
- Both high and low versions of gradio can lead to various exceptions.
## Reference and Learning
```
The code design of this project has referenced many other excellent projects, including:
Many other excellent designs have been referenced in the code, mainly including:
# Reference project 1: Borrowed many tips from ChuanhuChatGPT
# Project 1: THU ChatGLM-6B:
https://github.com/THUDM/ChatGLM-6B
# Project 2: THU JittorLLMs:
https://github.com/Jittor/JittorLLMs
# Project 3: Edge-GPT:
https://github.com/acheong08/EdgeGPT
# Project 4: ChuanhuChatGPT:
https://github.com/GaiZhenbiao/ChuanhuChatGPT
# Reference project 2: Tsinghua ChatGLM-6B:
https://github.com/THUDM/ChatGLM-6B
```
# Project 5: ChatPaper:
https://github.com/kaixindelele/ChatPaper
# More:
https://github.com/gradio-app/gradio
https://github.com/fghrsh/live2d_demo
```