Update app.py

app.py

@@ -95,7 +95,8 @@ def main():
     st.set_page_config(layout="wide")
     st.title("Batch Glaucoma Screening from Retinal Fundus Images")
     
-    st.sidebar.title("Settings")
+    # Explanation for the confidence threshold
+    st.sidebar.write("**Confidence Threshold** (optional): Set a threshold to filter images based on the model's confidence in glaucoma classification.")
     confidence_threshold = st.sidebar.slider("Confidence Threshold (%)", 0, 100, 70)
     uploaded_files = st.sidebar.file_uploader("Upload Images", type=['png', 'jpeg', 'jpg'], accept_multiple_files=True)
     
@@ -118,8 +119,9 @@ def main():
                     download_confident_images.append((cropped_image, uploaded_file.name))
                 
                 # Display Results
-                with st.expander(f"Results for {uploaded_file.name}", expanded=False):
-                    cols = st.columns(4)
+                with st.container():
+                    st.subheader(f"Results for {uploaded_file.name}")
+                    cols = st.beta_columns(4)  # Use st.beta_columns for compatibility with older Streamlit
                     cols[0].image(image_np, caption="Input Image", use_column_width=True)
                     cols[1].image(disc_cup_image, caption="Disc/Cup Segmentation", use_column_width=True)
                     cols[2].image(image_np, caption="Class Activation Map", use_column_width=True)
@@ -131,7 +133,7 @@ def main():
                     st.write(f"**Optic Disc Segmentation Confidence:** {disc_conf:.02f}%")
                     st.write(f"**Confidence Group:** {'Confident' if is_confident else 'Not Confident'}")
         
-        # Download Button for Confident Images
+        # Download Link for Confident Images
         if download_confident_images:
             with zipfile.ZipFile("confident_cropped_images.zip", "w") as zf:
                 for cropped_image, name in download_confident_images: