app.py

import streamlit as st
import os
import nerf
import torch

# Check if the directory called Model exists
if not os.path.exists("Model"):
    # Create the directory
    os.mkdir("Model")

# Check if the model is downloaded
if not os.path.exists("Model/nerf_model.ckpt"):
    # Download the model
    wget https://github.com/bmild/nerf/releases/download/v0.5/nerf_model.ckpt

# Load the NeRF model
nerf_model = nerf.NeRF.load("Model/nerf_model.ckpt")

# Define the camera parameters
camera = nerf.Camera(
    fov=60,
    focal_length=50,
    znear=1,
    zfar=100,
    principal_point=(0.5, 0.5),
)

# Define the viewing direction
viewing_direction = torch.tensor([0, 0, 1])

# Render the novel view
novel_view = nerf_model.render(viewing_direction, camera)

# Save the novel view
torch.save(novel_view, "novel_view.png")

# Create a Streamlit app
st.title("NeRF with Dolly Zoom")

# Show the image
st.image("novel_view.png")