requirements.txt

torch                     # core deep-learning library (CPU build will install)
numpy                     # base numerical array lib
scipy                     # Wav2Lip audio helpers use it
opencv-python-headless>=4.7  # cv2 without the GUI libs; works in servers
moviepy                   # final MP4 writing (used by Wav2Lip)
numba                     # small JIT dependency in Wav2Lip code
pillow                    # image handling / resize
pydub                     # light audio resampling (calls ffmpeg already in HF image)
soundfile                 # safe WAV read/write inside audio.py
python_speech_features    # required by Wav2Lip’s audio.py
tqdm                      # progress bars (used in inference.py)
gradio                    # Space UI & API
librosa==0.9.2
face-alignment