https://github.com/etienneab3d/chatmate

ChatGPT file processing automation (Java application)
https://github.com/etienneab3d/chatmate

automation batch-processing chatgpt chatgpt-app chatgpt-gui

Last synced: about 9 hours ago
JSON representation

ChatGPT file processing automation (Java application)

• Host: GitHub
• URL: https://github.com/etienneab3d/chatmate
• Owner: EtienneAb3d
• Created: 2024-01-05T08:35:32.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-02-08T14:01:55.000Z (10 months ago)
• Last Synced: 2024-02-08T15:27:20.563Z (10 months ago)
• Topics: automation, batch-processing, chatgpt, chatgpt-app, chatgpt-gui
• Language: Java
• Homepage:
• Size: 6.92 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# ChatMate

ChatGPT file processing automation (Java version) 

# Use case example: create an SRT subtitle translator to Chinese

## SRT translation problem

SRT file translation may be complex because of possible bad sentence cut, making each text part loosing its context.

ChatGPT, with its ability to handle complex processing, by translating the SRT at once as a whole, can produce much better SRT translations than other available translation tools.

## Run ChatMate

Use the ChatMate Windows Exe release,

or

From de **distrib** folder, use the launcher for your machine (Java or OpenJDK must be installed).

![image](https://github.com/EtienneAb3d/ChatMate/assets/25932245/ae688e00-c8e6-4221-b3a3-773411ba0d49)

## Configure

1- Define a *Config* name, like **SRTtoZH**


2- Define a *Suffix* to add to processed file names, like **-ZH**


3- Define a *Model* to use, like **gpt-3.5-turbo**


4- Define a *Part size* (~ number of paragraphs to be processed at each ChatGPT call). On each ChatGPT call, the number of input+output tokens is limited. Too many tokens also brings with lower quality result. A value of 30 is certainly a good choice for SRT files. Less than 1 will send the whole file content without cut, with a risk of ChatGPT model context length overload.


5- Enter a valid ChatGPT *Key*


6- Define a *System* prompt, like:


**Translate all text in Chinese keeping the SRT subtitle format with the sentence cut at best for each numbered section of the original.**

![image](https://github.com/EtienneAb3d/ChatMate/assets/25932245/39265ef6-07f9-4204-b5fc-74d5d506dbe7)

## Test

1- Copy/Paste a SRT content as a User prompt


2- Click on the **Test** button


3- After the time needed to process the content, the result should appear on the right


![image](https://github.com/EtienneAb3d/ChatMate/assets/25932245/e08ceda1-579c-4c17-9f07-78d6fe08e950)

## Batch

1- Drag and Drop a set of files on the File list on the bottom left


2- Click on the **Process all files** button


3- Each processed file appears on the right with the suffixed name


![image](https://github.com/EtienneAb3d/ChatMate/assets/25932245/2de97b7c-4691-4e3b-b663-2e2fd4126519)

# Linked projects

https://github.com/EtienneAb3d/karaok-AI


https://github.com/EtienneAb3d/WhisperHallu 


https://github.com/EtienneAb3d/WhisperTimeSync


https://github.com/EtienneAb3d/NeuroSpell


https://github.com/EtienneAb3d/OpenNeuroSpell




This tool is a demonstration of our know-how.


If you are interested in a commercial/industrial AI linguistic project, contact us:


https://cubaix.com