This project is a Jupyter Notebook-based application that allows users to translate text into different languages (English, Chinese, and Japanese) or chat with an AI model. The notebook utilizes the Qwen/Qwen2-1.5B-Instruct language model for natural language processing tasks and the gTTS library for text-to-speech conversion.
- Translate Text: Translate input text into English, Chinese, or Japanese.
- Chat Functionality: Chat with the AI model by selecting the "Chat" option.
- Text-to-Speech: Convert the translated or generated text into speech and download the audio file.
Ensure you have the following Python packages installed in your environment:
pip install accelerate gTTS gradio transformers torch- Clone the Repository:
git clone https://github.com/shaadclt/Translation-Chat-App-Qwen-2.git
cd Translation-Chat-App-Qwen-2- Open the Jupyter Notebook:
- Launch Jupyter Notebook in your working directory:
jupyter notebook- Open translation_chat_app.ipynb in the Jupyter interface.
- Run the Notebook:
- Execute each cell in the notebook sequentially.
- Input your text, select the desired action (Translate to English, Translate to Chinese, Translate to Japanese, or Chat), and get the output text along with an audio file.
This project is licensed under the MIT License. See the LICENSE file for more details.
- Qwen/Qwen2-1.5B-Instruct model by Hugging Face.
- gTTS: Python library for Google Translate's text-to-speech API.
- Gradio: Interface library for machine learning models.
Contributions are welcome! Please feel free to submit a Pull Request or open an Issue for any improvements or feature requests.