app.py

import streamlit as st
import torch
import torchvision.transforms as transforms
from easymocap.apps.neuralbody import demo

# Create a text box to enter the YouTube video ID
video_id = st.text_input("Enter the YouTube video ID:")

# Create a progress bar
progress_bar = st.progress(0)

# If the user enters a valid YouTube video ID, download the video and extract the frames
if video_id:
  embed_code = get_embed_code(video_id)
  video = download_video(embed_code)
  frames = extract_frames(video)

  # Convert the frames to tensors
  frames = torch.from_numpy(frames).float()

  # Create a 3D scene from the frames
  scene = create_scene(frames)

  # Use view synthesis to render a novel view of the scene
  novel_view = render_novel_view(scene)

  # Update the progress bar
  progress_bar.progress(100)

  # Show the novel view
  st.image(novel_view)