app.py

import cv2
import numpy as np
import streamlit as st
from datasets import load_dataset
from PIL import Image
from matplotlib.pyplot import imshow

def load_dataset_from_Hugging_Face():
  reloaded_dataset_thermal = load_dataset("gokulraja17/rice-thermal-demo")
  reloaded_dataset_rgb = load_dataset("gokulraja17/rice-rgb-demo2")
  return reloaded_dataset_thermal,reloaded_dataset_rgb

dataset_thermal,dataset_rgb = load_dataset_from_Hugging_Face()
uploaded_file = st.file_uploader("Choose a image file", type=["jpg","png"])

if uploaded_file is not None:
    # Convert the file to an opencv image.
    file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
    opencv_image = cv2.imdecode(file_bytes, 1)
    
    # Now do something with the image! For example, let's display it:
    st.image(opencv_image, channels="BGR")