Create app.py

app.py

@@ -0,0 +1,21 @@
+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)}")