Update app.py

app.py

@@ -9,7 +9,7 @@ loaded_model = keras.saving.load_model("best_model.keras")
 uploaded_img = st.file_uploader("Upload your file here...",type=['png', 'jpeg', 'jpg'])
 
 if uploaded_img is not None:
-    st.image(uploaded_file)
+    st.image(uploaded_img)
     array = np.array(uploaded_img)
     result = loaded_model.predict(array)
     st.write(f"Your prediction is: {result}")