--- title: git_config_-global_credential.helper_store app_file: app.py sdk: gradio sdk_version: 4.44.1 ---
# Results Videos
# Demo Video (on Youtube) # 📝 Release Plans - [ ] Training codes for AuMoClip and ACInterp - [ ] Inference codes for ACInterp - [ ] Processed Youtube Buiness Video data (very small, around 15 mins) - [x] Scripts for creating gesture graph - [x] Inference codes with AuMoClip and pretrained weights # ⚒️ Installation ## Clone the repository ```shell git clone https://github.com/CyberAgentAILab/TANGO.git cd TANGO git clone https://github.com/justinjohn0306/Wav2Lip.git git clone https://github.com/dajes/frame-interpolation-pytorch.git ``` ## Build Environtment We Recommend a python version `==3.9.20` and cuda version `==11.8`. Then build environment as follows: ```shell # [Optional] Create a virtual env conda create -n tango python==3.9.20 conda activate tango # Install with pip: pip install -r ./pre-requirements.txt pip install -r ./requirements.txt ``` # 🚀 Training and Inference ## Inference Here is the command for running inference scripts under the path `