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https://github.com/anil-turan/translate-chatbot
This project is a translation chatbot application that uses the DeepL API to translate text into various languages. The application provides a graphical user interface (GUI) created using PyQt5.
https://github.com/anil-turan/translate-chatbot
Last synced: about 2 months ago
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This project is a translation chatbot application that uses the DeepL API to translate text into various languages. The application provides a graphical user interface (GUI) created using PyQt5.
- Host: GitHub
- URL: https://github.com/anil-turan/translate-chatbot
- Owner: anil-turan
- License: mit
- Created: 2024-08-09T09:34:46.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-08-09T10:59:02.000Z (5 months ago)
- Last Synced: 2024-08-10T11:04:53.242Z (5 months ago)
- Language: Python
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Translation Chatbot
This project is a translation chatbot application that uses the DeepL API to translate text into various languages. The application provides a graphical user interface (GUI) created using PyQt5.
## Features
- Translate text to various languages using the DeepL API
- Simple and user-friendly graphical user interface (GUI)
- Real-time translation display
## Requirements
- Python 3.x
- requests
- PyQt5
## Installation
1. Clone the repository:
```sh
git clone https://github.com/your-username/translation-chatbot.git
cd translation-chatbot
```
2. Install the required Python packages:
```sh
pip install requests pyqt5
```
3. Obtain your DeepL API key from the [DeepL website](https://www.deepl.com/pro-api).
4. Add your API key to the script:
```python
api_key = 'YOUR_DEEPL_API_KEY' # Replace 'YOUR_DEEPL_API_KEY' with your actual API key
```
## Usage
1. Run the application:
```sh
python translate_chatbot.py
```
2. Enter text into the input field and press "Send" to translate the text to the target language (default is Turkish).
## Example Code
Here is an example of how the main script looks:
```python
import sys
import requests
from PyQt5.QtWidgets import QApplication, QMainWindow, QTextEdit, QLineEdit, QPushButton, QVBoxLayout, QWidget
# Function to translate text using the DeepL API
def translate(text, target_language):
api_key = 'YOUR_DEEPL_API_KEY' # Add your API key here
url = "https://api-free.deepl.com/v2/translate"
payload = {
'auth_key': api_key,
'text': text,
'target_lang': target_language.upper()
}
response = requests.post(url, data=payload)
response_data = response.json()
if 'translations' in response_data:
return response_data['translations'][0]['text']
else:
return "Translation failed. Please try again."
class TranslateChatBotApp(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("Translation Chatbot")
self.setGeometry(100, 100, 600, 400)
self.central_widget = QWidget()
self.setCentralWidget(self.central_widget)
self.layout = QVBoxLayout()
self.chat_display = QTextEdit()
self.chat_display.setReadOnly(True)
self.layout.addWidget(self.chat_display)
self.user_input = QLineEdit()
self.layout.addWidget(self.user_input)
self.send_button = QPushButton("Send")
self.send_button.clicked.connect(self.respond)
self.layout.addWidget(self.send_button)
self.central_widget.setLayout(self.layout)
def respond(self):
user_text = self.user_input.text()
self.chat_display.append(f"You: {user_text}")
# Translation (English -> Turkish)
translated_text = translate(user_text, 'TR')
self.chat_display.append(f"Bot: {translated_text}")
self.user_input.clear()
if __name__ == "__main__":
app = QApplication(sys.argv)
mainWin = TranslateChatBotApp()
mainWin.show()
sys.exit(app.exec_())