app.py

import cv2
import time
import tempfile
import numpy as tf
import streamlit as st
import tensorflow as tf
from cv_func import predict

st.title("Gender Detectior using OpenCv and Tensorflow")

uploader = st.file_uploader(label="Upload the png here: ",type=["jpg","png"])

if uploader is None:    
     st.warning("⚠️| Hey there! Ready to unveil the mysteries? Upload an image and let's predict some genders!")


if uploader is not None:
    print("log update: file uploaded!")
    st.write("⏳ | Brace yourselves! Our top-notch AI detectives are on the case....")
    time.sleep(3)
    st.write("⏳ | Analyzing the pixels to uncover the hidden secrets of gender in your image.....")
    time.sleep(3)
    st.write("⌛ | This could be the moment we crack the code or just end up with some hilariously unexpected results")
    time.sleep(3)
    st.write("✅ | Done!")
    with tempfile.NamedTemporaryFile(delete=False) as temp_file:
            temp_file.write(uploader.read())
            image_filename = temp_file.name
    
    ans,men,women = predict(image_filename)    
    
    
    st.header("Output:")
    col1, col2 = st.columns(2,)

    
    with col1:
        st.header("Men:")
        st.metric("Count", men)
    with col2:
        st.header("Women:")
        st.metric("Count", women)
    
    st.image(ans)