This project is a Text to Video Generator that utilizes a Hugging Face model. The backend server is implemented in Google Colab, and the frontend is built using ReactJS. The connection between the Flask backend and the ReactJS frontend is established using ngrok tunneling.
- Generate videos based on input text using a pre-trained Hugging Face model.
- Utilizes Google Colab as the backend for model processing.
- ReactJS frontend provides a user-friendly interface.
- ngrok tunnel ensures seamless communication between the backend and frontend.
- Node.js
- Python
- Flask
- ngrok
- Hugging Face Transformers Library
- Colab Notebook
- Open the
backend/Colab_Backend.ipynb
notebook in Google Colab. - Follow the instructions in the notebook to set up and run the backend.
-
Navigate to the
frontend
directory. -
Install dependencies using:
npm install