This app utilizes the power of the CHATGPT language model to provide real-time translation of text input in Thai and English.

• Support for Thai and English languages
• Easy-to-use interface

1. Run Application 1 time
2. Then go to file api_key_chatgpt.json and insert the API KEY, get it from https://beta.openai.com/, then save and close the file.
3. Run Application
4. Enter text in any language in the text field.
5. Press the button to get the translated text

IMPORTANT: Remember to enter your API key for the CHATGPT model before running the app in file api_key_chatgpt.json

can be used to extract text from images or scanned documents, including text on the screen. Currently, our OCR system supports two languages: Chinese and English.

NOTE: You can press the keyboard shortcut Ctrl + Shift + Z to perform OCR.

• Checking access (Required) here
• Install the cookie editor extension for Chrome or Firefox
• Go to bing.com
• Open the extension
• Click "Export" on the bottom right, then "Export as JSON" (This saves your cookies to clipboard)
• Paste your cookies into a file cookies_bing_chat.json

Example cookies_bing_chat.json

- You can see more https://github.com/watchakorn-18k/Language-Translation-App-using-CHATGPT#how-to-use-bing-chat

+ [
+    {
+        "domain": ".bing.com",
+        "expirationDate": ..............

You can see more here.

• get API key for the Gemini go to https://aistudio.google.com/app/apikey"
• Copy the values
  • Paste it into a file api_gemini.json

Example cookies_bard.json

- {"api_key": "get API key for the Gemini go to https://aistudio.google.com/app/apikey"}

+ {"api_key": "AIza................................"}

1. Make sure you have Python 3 installed on your system
2. Install package pip install fenv
3. Clone the repository and create virtualenv with fenv clone https://github.com/watchakorn-18k/Language-Translation-App-using-CHATGPT
4. Run the app with the command python app.py of flet app.py

This app is open-source and can be further developed. Feel free to make pull requests or suggest new features.

pyinstaller app.spec

The app is built using the OpenAI's CHATGPT model, which is a powerful language generation model. It uses the Hugging Face's transformers library to fine-tune the model and make it work for our specific use case.

Snipper source code from textshot

• 1.2 changelog:
  • Change prompt Gemini new
  • Change prompt ChatGPT new
  • Remove ChatGPTFREE
  • can select model generative ai
  • Update modules
• 1.1 changelog:
  • Add support for Gemini
  • Remove Bard API
  • Add snapshot support turkish
  • Update modules
• 1.0 Initial release