Update app.py

app.py

@@ -70,7 +70,7 @@ mutation_site_headers = [
 st.title("ASCII & Binary Label Converter")
 
 # Create tabs
-tab1, tab2 = st.tabs(["Text to Binary Labels", "Image to Binary Labels"])
+tab1, tab2, tab3 = st.tabs(["Text to Binary Labels", "Image to Binary Labels", "EF -> Binary"])
 
 with tab1:
     st.write("Enter text to see its ASCII codes and corresponding binary labels:")
@@ -119,8 +119,8 @@ with tab2:
         img = Image.open(uploaded_file)
         st.image(img, caption="Uploaded Image", use_column_width=True)
 
-        st.subheader("Crop the image with drag and select")
-        cropped_img = st_cropper(img, realtime_update=True, box_color='blue', aspect_ratio=None)
+        st.subheader("Crop the image with drag and select (1:1 aspect ratio)")
+        cropped_img = st_cropper(img, realtime_update=True, box_color='blue', aspect_ratio=1.0)
 
         st.image(cropped_img, caption="Cropped Image", use_column_width=True)
 
@@ -155,4 +155,34 @@ with tab2:
             mime="text/csv"
         )
 
+with tab3:
+    st.write("Upload an Editing Frequency CSV or fill in manually:")
+    threshold_file = st.file_uploader("Upload Column Threshold CSV", type=["csv"], key="threshold")
+    ef_file = st.file_uploader("Upload Editing Frequency CSV", type=["csv"], key="ef")
+
+    if threshold_file:
+        thresholds_df = pd.read_csv(threshold_file, index_col=0)
+        thresholds = thresholds_df.squeeze()
+
+    if ef_file:
+        ef_df = pd.read_csv(ef_file)
+    else:
+        ef_df = pd.DataFrame(columns=thresholds.index if threshold_file else [])
+
+    edited_df = st.data_editor(ef_df, num_rows="dynamic")
+
+    if st.button("Convert to Binary Labels"):
+        if threshold_file:
+            binary_df = edited_df.ge(thresholds).astype(int)
+            st.subheader("Binary Labels")
+            st.dataframe(binary_df)
+            st.download_button(
+                label="Download Binary Labels Table as CSV",
+                data=binary_df.to_csv(index=False),
+                file_name="ef_binary_labels_table.csv",
+                mime="text/csv"
+            )
+        else:
+            st.error("Please upload the threshold CSV file first.")
+
 # Future: integrate DNA editor mapping for each mutation site here