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import streamlit as st
from PIL import Image
import requests
from io import BytesIO
from streamlit_image_comparison import image_comparison
from utils import upscale_image, enhanced_image
def ui():
img_selected = None
input_text = None
uploaded_file = None
input_image_area = st.columns(2)
with input_image_area[0]:
option = st.selectbox(
"How do you want to provide the image?",
("Fetch from URL", "Upload from local machine"),
key="option_enhanced"
)
if option == "Upload from local machine":
uploaded_file = st.file_uploader(
"Choose an image...", type=["jpg", "jpeg", "png"], key='file_enhanced')
elif option == "Fetch from URL":
input_text = st.text_input(
"Enter the image URL", key='input_enhanced')
if st.button("Submit", key="submit_enhanced"):
if option == "Upload from local machine" and uploaded_file is not None:
try:
img_selected = Image.open(uploaded_file)
# st.image(image, caption="Uploaded Image", use_column_width=True)
except Exception as e:
st.error(f"Error opening image: {e}")
elif option == "Fetch from URL" and input_text:
try:
response = requests.get(input_text)
response.raise_for_status()
img_selected = Image.open(BytesIO(response.content))
# st.image(image, caption="Image from URL", use_column_width=True)
except requests.exceptions.RequestException as e:
st.error(f"Error fetching image: {e}")
if img_selected:
width, height = img_selected.size
if width > 1000 or height > 1000:
st.error(
"Unable to upscale. The size of upscaled image should be less than 1000x1000")
img_selected = None
with input_image_area[1]:
option_model = st.selectbox(
"Which model do you want to use?",
('SRUNET_x2', 'SRUNET_x3', 'SRUNET_x4', 'SRUNET_x234'),
key="option_model_enhanced"
)
if img_selected:
st.header('Results')
st.text(f'Model: {option_model}')
col1, col2 = st.columns(2)
with col1:
st.image(img_selected, caption="Original",
use_column_width=True)
with col2:
img_enhanced = enhanced_image(img_selected, option_model)
# img_enhanced = img_selected.resize((64, 64))
col2.image(img_enhanced, caption="Enhanced",
use_column_width=True)
image_comparison(
img1=img_selected,
img2=img_enhanced,
)
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