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https://github.com/leocodeio/auto-creator-monorepo
this application's aim is is to create and upload a bunch of narration videos on its own to social media primarily on youtube on its own
https://github.com/leocodeio/auto-creator-monorepo
Last synced: 13 days ago
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this application's aim is is to create and upload a bunch of narration videos on its own to social media primarily on youtube on its own
- Host: GitHub
- URL: https://github.com/leocodeio/auto-creator-monorepo
- Owner: leocodeio
- Created: 2024-12-25T11:44:22.000Z (22 days ago)
- Default Branch: main
- Last Pushed: 2024-12-25T22:05:35.000Z (21 days ago)
- Last Synced: 2024-12-25T23:17:03.165Z (21 days ago)
- Language: Python
- Size: 11 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🚀 Auto creator : Monorepo 🎥
Welcome to the Auto creator monorepo! This project aims to automate the creation of videos using various tools and technologies. 🌟
## 📋 Prerequisites
Before getting started, make sure you have the following prerequisites installed:
- [Miniconda](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh) 🐍
- [FFmpeg](https://ffmpeg.org/) 🎬
- [NVIDIA CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit) 💻
## 🛠️ Setup
Follow these steps to set up the project:
1. Download and install Miniconda:
```bash
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
sha256sum Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
source ~/.bashrc
```
2. Create a new conda environment and activate it:
```bash
conda create -n joyvasa python=3.10 -y
conda activate joyvasa
```
3. Clone the JoyVASA repository:
```bash
git clone https://github.com/jdh-algo/JoyVASA.git
```
4. Install the necessary dependencies:
```bash
sudo apt install build-essential
sudo apt-get update
sudo apt-get install ffmpeg -y
sudo apt install nvidia-cuda-toolkit
```
5. Build and install the XPose dependencies:
```bash
cd src/utils/dependencies/XPose/models/UniPose/ops
python setup.py build install
cd
```
6. Download the pretrained weights:
```bash
huggingface-cli download KwaiVGI/LivePortrait --local-dir pretrained_weights --exclude "*.git*" "README.md" "docs"
cd pretrained_weights
```
7. Install Git LFS and clone additional repositories:
```bash
git lfs install
git clone https://huggingface.co/jdh-algo/JoyVASA
git clone https://huggingface.co/TencentGameMate/chinese-hubert-base
git clone https://huggingface.co/facebook/wav2vec2-base-960h
```
## 🏃♂️ Running the FastAPI Application
/yt-api-python
To run the FastAPI application (`app.py`), follow these steps:
1. Install the required dependencies:
```bash
pip install --upgrade google-api-python-client google-auth-oauthlib google-auth-httplib2 fastapi python-multipart uvicorn
```
2. Run the FastAPI application:
```bash
python app.py
```
3. Access the application in your web browser at `http://localhost:3001`.
4. To authenticate and grant permissions for uploading videos to YouTube:
- Visit `http://localhost:3001/auth` and follow the authentication flow.
- After successful authentication, you will be redirected to the upload page.
5. To upload a video:
- Go to `http://localhost:3001/upload`.
- Fill in the video details (title, description, tags, privacy status).
- Select a video file to upload.
- Click the "Upload" button to start the upload process.
6. To retrieve information about your YouTube channel:
- Make a GET request to `http://localhost:3001/channel-info`.
- The response will contain details about your channel.
That's it! You're now ready to use the JoyVASA monorepo and explore its features. Happy auto-creating! 🎉
If you encounter any issues or have questions, feel free to reach out to the project maintainers. 📧
```
Note: The above instructions assume a Linux-based environment. Adjust the commands accordingly for other operating systems.
```
🌟 Enjoy! 🚀