app.py

import streamlit as st
import tensorflow as tf

st.title("Skin Disease Classification App")

# Load model 
model = tf.keras.models.load_model('TvachaAI.h5')

# Create sidebar for uploading images
st.sidebar.title("Upload Image")
image = st.sidebar.file_uploader("Upload an image", type=['png', 'jpg'])  

if image is not None:
    
    # Process & predict
    img = process_image(image)  
    preds = model.predict(img)
    
    # Display image & predictions        
    st.image(img, use_column_width=True)
    st.write(f"Prediction: {decode_predictions(preds)}")