app.py

import streamlit as st
from some_video_processing_library import process_video

# Title of the app
st.title('AI-powered Video to Video App')

# Video uploader
uploaded_video = st.file_uploader("Choose a video...", type=["mp4", "mov", "avi"])

# Parameters settings
st.sidebar.header('Adjust Parameters')
style = st.sidebar.slider('Style: Structural consistency', 1, 10, 4)
weight = st.sidebar.slider('Style: Weight', 1.0, 10.0, 8.5)
seed = st.sidebar.number_input('Seed', value=123456789)
frame_consistency = st.sidebar.slider('Frame consistency', 0.0, 1.0, 0.9)

# Advanced settings
upscale = st.sidebar.checkbox('Upscale')
remove_watermark = st.sidebar.checkbox('Remove watermark')
affect_foreground_only = st.sidebar.checkbox('Affect foreground only')

# If a video is uploaded, show the video and the 'Process' button
if uploaded_video is not None:
    st.video(uploaded_video)
    if st.button('Process Video'):
        # This function should call the AI model to process the video
        # with the provided parameters.
        processed_video = process_video(uploaded_video, style, weight, seed, frame_consistency, upscale, remove_watermark, affect_foreground_only)
        
        # Show the processed video
        st.video(processed_video)