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# ChatGPT Academic Optimization
> **Note**
>
> This English readme is automatically generated by the markdown translation plugin in this project, and may not be 100% correct.
> 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 have come up with more useful academic shortcuts or functional plugins, feel free to open an issue or pull request (to the `dev` branch).**
**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 function plugins (buttons) marked in **red** support reading files, and some plugins are located in the **dropdown menu** in the plugin area. Additionally, we welcome and process PRs for any new plugins with the **highest priority**!
> 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 functions of each file in this project are 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). With the version iteration, you can click on a relevant function plugin at any time to call GPT to regenerate the self-analysis report for the project. Commonly asked 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).
>
> 3. If you are not used to the function, comments or interface with some Chinese names, you can click on the relevant function plugin at any time to call ChatGPT to generate the source code of the project in English.
> 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.
>
<div align="center">
Function | Description
--- | ---
One-click refinement | Supports one-click refinement, one-click searching for grammatical errors in papers.
One-click translation between Chinese and English | One-click translation between Chinese and English.
One-click code interpretation | Can correctly display and interpret the code.
[Custom shortcuts](https://www.bilibili.com/video/BV14s4y1E7jN) | Supports custom shortcuts.
[Configure proxy server](https://www.bilibili.com/video/BV1rc411W7Dr) | Supports configuring proxy server.
Modular design | Supports custom high-order experimental features and [function plug-ins], and 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 analysis](https://www.bilibili.com/video/BV1cj411A7VW) | [Function Plug-in] [One-Key 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) the source code of this project.
[Program analysis](https://www.bilibili.com/video/BV1cj411A7VW) | [Function Plug-in] One-click can analyze other Python/C/C++/Java/Golang/Lua/Rect project trees.
Read papers | [Function Plug-in] One-click reads the full text of a latex paper and generates an abstract.
Latex full-text translation/refinement | [Function Plug-in] One-click translates or refines a latex paper.
Batch annotation generation | [Function Plug-in] One-click generates function annotations in batches.
Chat analysis report generation | [Function Plug-in] Automatically generate summary reports after running.
[Arxiv assistant](https://www.bilibili.com/video/BV1LM4y1279X) | [Function Plug-in] Enter the arxiv paper url and you can translate the abstract and download the PDF with one click.
[PDF paper full-text translation function](https://www.bilibili.com/video/BV1KT411x7Wn) | [Function Plug-in] Extract title and abstract of PDF papers + translate full text (multi-threaded).
[Google Scholar integration assistant](https://www.bilibili.com/video/BV19L411U7ia) (Version>=2.45) | [Function Plug-in] Given any Google Scholar search page URL, let GPT help you choose interesting articles.
Formula display | Can simultaneously display the tex form and rendering form of formulas.
Image display | Can display images in Markdown.
Multithreaded function plug-in support | Supports multi-threaded calling of chatgpt, one-click processing of massive texts or programs.
Support for markdown tables output by GPT | Can output markdown tables that support GPT.
Start dark gradio theme [theme](https://github.com/binary-husky/chatgpt_academic/issues/173) | Add ```/?__dark-theme=true``` to the browser URL to switch to the dark theme.
Huggingface free scientific online experience](https://huggingface.co/spaces/qingxu98/gpt-academic) | After logging in to Huggingface, copy [this space](https://huggingface.co/spaces/qingxu98/gpt-academic).
[Mixed support for multiple LLM models](https://www.bilibili.com/video/BV1EM411K7VH/) ([v3.0 branch](https://github.com/binary-husky/chatgpt_academic/tree/v3.0) in testing) | It must feel great to be served by both ChatGPT and [Tsinghua ChatGLM](https://github.com/THUDM/ChatGLM-6B)!
Compatible with [TGUI](https://github.com/oobabooga/text-generation-webui) to access more language models | Access to opt-1.3b, galactica-1.3b and other models ([v3.0 branch](https://github.com/binary-husky/chatgpt_academic/tree/v3.0) under testing).
… | ...
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)
... | ...
</div>
<!-- - New interface (left: master branch, right: dev development frontier) -->
- New interface (modify the `LAYOUT` option in `config.py` to switch between "left and right layout" and "up and down layout").
- New interface (switch between "left-right layout" and "up-down layout" by modifying the LAYOUT option in config.py)
<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 custom functions can be added freely, freeing up the clipboard.
- All buttons are dynamically generated by reading functional.py and can add custom functionality at will, freeing up clipboard
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/231975334-b4788e91-4887-412f-8b43-2b9c5f41d248.gif" width="700" >
</div>
- Refinement/Correction
- Proofreading / correcting
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/231980294-f374bdcb-3309-4560-b424-38ef39f04ebd.gif" width="700" >
</div>
- Supports markdown tables output by GPT.
- 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
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png" width="700" >
</div>
- If the output contains formulas, both the tex form and the rendering form are displayed simultaneously for easy copying and reading.
<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 project code? Let chatgpt boast about the whole project.
- Don't want to read the project code? Just take the whole project to chatgpt
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="700" >
</div>
- Multiple large language models mixed calling. ([v3.0 branch](https://github.com/binary-husky/chatgpt_academic/tree/v3.0) in testing)
- Multiple major language model mixing calls (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)
## Running Directly (Windows, Linux or MacOS)
---
### 1. Download the Project
## Installation-Method 1: Run directly (Windows, Linux or MacOS)
1. Download project
```sh
git clone https://github.com/binary-husky/chatgpt_academic.git
cd chatgpt_academic
```
### 2. Configure API_KEY and Proxy Settings
2. Configure API_KEY and proxy settings
In `config.py`, configure the overseas Proxy and OpenAI API KEY, as follows:
```
1. If you are in China, you need to set an overseas proxy to use the OpenAI API smoothly. Please read the instructions in config.py carefully (1. Modify the USE_PROXY to True; 2. Modify the proxies according to the instructions).
2. Configure OpenAI API KEY. You need to register on the OpenAI official website and obtain an API KEY. Once you get the API KEY, configure it in the config.py file.
3. Issues related to proxy network (network timeout, proxy not working) are summarized to https://github.com/binary-husky/chatgpt_academic/issues/1
```
(Note: When the program is running, it will first check whether there is a private configuration file named `config_private.py`, and use the configuration in it to overwrite the same name configuration in `config.py`. Therefore, if you can understand our configuration reading logic, we strongly recommend that you create a new configuration file next to `config.py` named `config_private.py` and transfer (copy) the configuration in `config.py` to `config_private.py`. `config_private.py` is not managed by Git, which can make your privacy information more secure.)
### 3. Install Dependencies
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
```sh
# (Option 1) Recommended
# (Option One) Recommended
python -m pip install -r requirements.txt
# (Option 2) If you use anaconda, the steps are also similar:
# (Option 2.1) conda create -n gptac_venv python=3.11
# (Option 2.2) conda activate gptac_venv
# (Option 2.3) 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 the official pip source or the Ali pip source. Other pip sources (such as some university pips) may have problems. Temporary substitution method:
# 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/
```
### 4. Run
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):
```sh
python -m pip install -r request_llm/requirements_chatglm.txt
```
4. Run
```sh
python main.py
```
### 5. Test Experimental Features
5. Test function plugins
```
- Test C++ Project Header Analysis
In the input area, enter `./crazy_functions/test_project/cpp/libJPG` , and then click "[Experiment] Parse the entire C++ project (input inputs the root path of the project)"
- Test Writing Abstracts for Latex Projects
In the input area, enter `./crazy_functions/test_project/latex/attention` , and then click "[Experiment] Read the tex paper and write an abstract (input inputs the root path of the project)"
- Test Python Project Analysis
In the input area, enter `./crazy_functions/test_project/python/dqn` , and then click "[Experiment] Parse the entire py project (input inputs the root path of the project)"
- Test Self-code Interpretation
Click "[Experiment] Please analyze and deconstruct this project itself"
- Test Experimental Function Template (asking GPT what happened in history today), you can implement more complex functions based on this template function
Click "[Experiment] Experimental function template"
- 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.
Click "[Function Plugin Template Demo] Today in History"
- There are more functions to choose from in the function plugin area drop-down menu.
```
## Use Docker (Linux)
## Installation-Method 2: Use Docker (Linux)
1. ChatGPT only (recommended for most people)
``` sh
# Download Project
# download project
git clone https://github.com/binary-husky/chatgpt_academic.git
cd chatgpt_academic
# Configure Overseas Proxy and OpenAI API KEY
Configure config.py with any text editor
# Installation
# configure overseas Proxy and OpenAI API KEY
Edit config.py with any text editor
# Install
docker build -t gpt-academic .
# Run
docker run --rm -it --net=host gpt-academic
# Test Experimental Features
## Test Self-code Interpretation
Click "[Experiment] Please analyze and deconstruct this project itself"
## Test Experimental Function Template (asking GPT what happened in history today), you can implement more complex functions based on this template function
Click "[Experiment] Experimental function template"
## (Please note that when running in docker, you need to pay extra attention to file access rights issues of the program.)
## Test C++ Project Header Analysis
In the input area, enter ./crazy_functions/test_project/cpp/libJPG , and then click "[Experiment] Parse the entire C++ project (input inputs the root path of the project)"
## Test Writing Abstracts for Latex Projects
In the input area, enter ./crazy_functions/test_project/latex/attention , and then click "[Experiment] Read the tex paper and write an abstract (input inputs the root path of the project)"
# 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
In the input area, enter ./crazy_functions/test_project/python/dqn , and then click "[Experiment] Parse the entire py project (input inputs the root path of the project)"
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.
```
## Other Deployment Methods
- Use WSL2 (Windows Subsystem for Linux subsystem)
Please visit [Deploy Wiki-1] (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)
2. ChatGPT+ChatGLM (requires strong familiarity with docker + strong computer configuration)
- nginx remote deployment
Please visit [Deploy Wiki-2] (https://github.com/binary-husky/chatgpt_academic/wiki/%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E7%9A%84%E6%8C%87%E5%AF%BC)
## Customizing New Convenient Buttons (Academic Shortcut Key Customization)
Open functional.py and add the entry as follows, and then restart the program. (If the button has been successfully added and is visible, both the prefix and suffix support hot modification and take effect without restarting the program.)
For example,
``` 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
```
"Super English to Chinese Translation": {
# Prefix, which will be added before your input. For example, it is used to describe your requirements, such as translation, code interpretation, polishing, etc.
"Prefix": "Please translate the following content into Chinese, and then use a markdown table to explain each proprietary term in the text:\n\n",
# Suffix, which will be added after your input. For example, in conjunction with the prefix, you can bracket your input in quotes.
## Installation-Method 3: Other Deployment Methods
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)
2. Use 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)
## 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)
---
## 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:
```
"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.
"Suffix": "",
},
```
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226899272-477c2134-ed71-4326-810c-29891fe4a508.png" width="500" >
</div>
If you invent a more user-friendly academic shortcut key, welcome to post an issue or pull request!
## Configure Proxy
### Method 1: General Method
Modify the port and proxy software corresponding in ```config.py```
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/226571294-37a47cd9-4d40-4c16-97a2-d360845406f7.png" width="500" >
<img src="https://user-images.githubusercontent.com/96192199/226838985-e5c95956-69c2-4c23-a4dd-cd7944eeb451.png" width="500" >
</div>
---
After configuring, you can use the following command to test whether the proxy works. If everything is normal, the code below will output the location of your proxy server:
```
python check_proxy.py
```
### Method Two: Pure Beginner Tutorial
[Pure Beginner Tutorial](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)
## Compatibility Testing
## Some Function Displays
### Image Display:
You are a professional academic paper translator.
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/228737599-bf0a9d9c-1808-4f43-ae15-dfcc7af0f295.png" width="800" >
</div>
### If the program can read and analyze itself:
### 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" >
@@ -227,7 +231,7 @@ python check_proxy.py
<img src="https://user-images.githubusercontent.com/96192199/226936618-9b487e4b-ab5b-4b6e-84c6-16942102e917.png" width="800" >
</div>
### Any other Python/Cpp project analysis:
### 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>
@@ -236,59 +240,52 @@ python check_proxy.py
<img src="https://user-images.githubusercontent.com/96192199/226969067-968a27c1-1b9c-486b-8b81-ab2de8d3f88a.png" width="800" >
</div>
### Latex paper reading comprehension and abstract generation with one click
### 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
### 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 Function Design
### Modular functional design
<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>
### Translating source code to English
### Source code translation to English
<div align="center">
<img src="https://user-images.githubusercontent.com/96192199/229720562-fe6c3508-6142-4635-a83d-21eb3669baee.png" height="400" >
</div>
## Todo and Version Planning:
- version 3 (Todo):
- - Support for gpt4 and other llm
- version 2.4+ (Todo):
- - Summary of long text and token overflow problems in large project source code
- - Implementation of project packaging and deployment
- - Function plugin parameter interface optimization
- - Self-updating
- version 2.4: (1) Added PDF full-text translation function; (2) Added input area switching function; (3) Added vertical layout option; (4) Optimized multi-threaded function plugin.
## 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 plug-in supports hot reloading
- version 2.1: Collapsible layout
- 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
## References and Learning
## Reference and learning
```
The code refers to the design of many other excellent projects, mainly including:
The code design of this project has referenced many other excellent projects, including:
# Reference Project 1: Referenced the method of reading OpenAI json, recording historical inquiry records, and using gradio queue in ChuanhuChatGPT
# Reference project 1: Borrowed many tips from ChuanhuChatGPT
https://github.com/GaiZhenbiao/ChuanhuChatGPT
# Reference Project 2:
# Reference project 2: Tsinghua ChatGLM-6B:
https://github.com/THUDM/ChatGLM-6B
```