Update app.py

app.py

@@ -31,7 +31,7 @@ def predict_breed(image_file):
 # Create the Streamlit app
 def main():
     st.title('Dog Breed Classification')
-    uploaded_file = st.file_uploader('Choose an image of a dog', type=['jpg', 'jpeg', 'png'])
+    uploaded_file = st.file_uploader('Choose an image of a dog', key='file_uploader', type=['jpg', 'jpeg', 'png'])
     if uploaded_file is not None:
         image_file = uploaded_file.name
         with open(image_file, 'wb') as f:
@@ -40,8 +40,8 @@ def main():
         st.image(uploaded_file, caption=f'Predicted class: {predicted_class}', use_column_width=True)
 
     # Add a button to trigger image upload
-    if st.button('Upload Image'):
-        uploaded_file = st.file_uploader('Choose an image of a dog', type=['jpg', 'jpeg', 'png'])
+    if st.button('Upload and Predict'):
+        uploaded_file = st.file_uploader('Choose an image of a dog', key='file_uploader_2', type=['jpg', 'jpeg', 'png'])
         if uploaded_file is not None:
             image_file = uploaded_file.name
             with open(image_file, 'wb') as f: