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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)
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