Update app.py

app.py

@@ -92,9 +92,7 @@ if __name__ == "__main__":
         unsafe_allow_html=True,
     )
 
-    col1, col2 = st.columns([0.5, 0.5])
-
-    in_file = st.sidebar.file_uploader(
+    in_file = st.file_uploader(
         "PDF file or image:", type=["pdf", "png", "jpg", "jpeg", "gif", "webp"]
     )
 
@@ -104,7 +102,7 @@ if __name__ == "__main__":
     filetype = in_file.type
     if "pdf" in filetype:
         page_count = page_count(in_file)
-        page_number = st.sidebar.number_input(
+        page_number = st.number_input(
             f"Page number out of {page_count}:",
             min_value=1,
             value=1,
@@ -118,20 +116,19 @@ if __name__ == "__main__":
     canvas_hash = get_canvas_hash(pil_image) if pil_image else "canvas"
 
     model = load_model_cached()
-    with col1:
-        canvas_result = st_canvas(
-            fill_color="rgba(255, 165, 0, 0.1)",
-            stroke_width=1,
-            stroke_color="#FFAA00",
-            background_color="#FFF",
-            background_image=pil_image,
-            update_streamlit=True,
-            height=get_image_size(pil_image)[0],
-            width=get_image_size(pil_image)[1],
-            drawing_mode="rect",
-            point_display_radius=0,
-            key=canvas_hash,
-        )
+    canvas_result = st_canvas(
+        fill_color="rgba(255, 165, 0, 0.1)",
+        stroke_width=1,
+        stroke_color="#FFAA00",
+        background_color="#FFF",
+        background_image=pil_image,
+        update_streamlit=True,
+        height=get_image_size(pil_image)[0],
+        width=get_image_size(pil_image)[1],
+        drawing_mode="rect",
+        point_display_radius=0,
+        key=canvas_hash,
+    )
 
     if canvas_result.json_data is not None:
         objects = pd.json_normalize(canvas_result.json_data["objects"])
@@ -145,11 +142,10 @@ if __name__ == "__main__":
             bbox_list = boxes[["left", "top", "right", "bottom"]].values.tolist()
 
         if bbox_list:
-            with col2:
-                bbox_nums = len(bbox_list)
-                for i, bbox in enumerate(bbox_list):
-                    input_img = pil_image.crop(bbox)
-                    rec_res, elapse = model(np.array(input_img))
-                    st.markdown(f"#### {i + 1} (cost: {elapse:.3f}s)")
-                    st.latex(rec_res)
-                    st.code(rec_res)
+            bbox_nums = len(bbox_list)
+            for i, bbox in enumerate(bbox_list):
+                input_img = pil_image.crop(bbox)
+                rec_res, elapse = model(np.array(input_img))
+                st.markdown(f"#### {i + 1}. (cost: {elapse:.3f}s)")
+                st.latex(rec_res)
+                st.code(rec_res)