app.py

import streamlit as st
from prediction import smartcities

# Streamlit Interface
st.header("Smart City Cars and Bikes detection")
st.markdown("Upload a video or select the example")

## Select video to inference
file_video = st.file_upload(" Upload a video ", type=["mp4"])
example = open("test_video.mp4")
st.video(example, width=250)
if st.button("example"):
    file_video = "test_video.mp4"

## 
if file_video is not None:
    video = open(file_video)
    video_bytes = video.read()
    output = smartcities(video_bytes)
    col1, col2 = st.columns(2)
    
    if output is not None:
        with col1:
            st.subheader("Input: ")
            st.video(video_bytes)
        with col2:
            st.subheader("Output: ")
            st.video(output)