Update app.py

app.py

@@ -10,9 +10,9 @@ from astropy.nddata import Cutout2D, CCDData
 from astropy.convolution import Gaussian2DKernel as Gauss
 from astropy.convolution import convolve
 
-# # HuggingFace
-# from huggingface_hub import from_pretrained_keras
-# model = from_pretrained_keras("Plsek/CADET-v1")
+# HuggingFace
+from huggingface_hub import from_pretrained_keras
+model = from_pretrained_keras("Plsek/CADET-v1")
 
 # Streamlit
 import streamlit as st
@@ -115,7 +115,7 @@ if uploaded_file is not None:
     col3.subheader("Prediction")
     
     with col1:
-        st.markdown("""<style>[data-baseweb="select"] {margin-top: -36px;}</style>""", unsafe_allow_html=True)
+        st.markdown("""<style>[data-baseweb="select"] {margin-top: -56px;}</style>""", unsafe_allow_html=True)
         max_scale = int(data.shape[0] // 128)
         # scale = int(st.selectbox('Scale:',[i+1 for i in range(max_scale)], label_visibility="hidden"))
         scale = st.selectbox('Scale:',[f"{(i+1)*128}x{(i+1)*128}" for i in range(max_scale)], label_visibility="hidden")