Update app.py

app.py

@@ -3,41 +3,16 @@ from PIL import Image
 import streamlit as st
 from streamlit_drawable_canvas import st_canvas
 
-# Specify canvas parameters in application
-drawing_mode = st.sidebar.selectbox(
-    "Drawing tool:", ("point", "freedraw", "line", "rect", "circle", "transform")
-)
-
-stroke_width = st.sidebar.slider("Stroke width: ", 1, 25, 3)
-if drawing_mode == 'point':
-    point_display_radius = st.sidebar.slider("Point display radius: ", 1, 25, 3)
-stroke_color = st.sidebar.color_picker("Stroke color hex: ")
-bg_color = st.sidebar.color_picker("Background color hex: ", "#eee")
-bg_image = st.sidebar.file_uploader("Background image:", type=["png", "jpg"])
-
-realtime_update = st.sidebar.checkbox("Update in realtime", True)
-
-
-
-# Create a canvas component
+st.subheader("Draw Your Digit")
 canvas_result = st_canvas(
-    fill_color="rgba(255, 165, 0, 0.3)",  # Fixed fill color with some opacity
-    stroke_width=stroke_width,
-    stroke_color=stroke_color,
-    background_color=bg_color,
-    background_image=Image.open(bg_image) if bg_image else None,
-    update_streamlit=realtime_update,
-    height=150,
-    drawing_mode=drawing_mode,
-    point_display_radius=point_display_radius if drawing_mode == 'point' else 0,
+    fill_color="rgba(0, 0, 0, 0)",
+    stroke_width=20,
+    stroke_color="#000000",
+    background_color="#FFFFFF",
+    update_streamlit=True,
+    height=280,
+    width=280,
+    drawing_mode="freedraw",
     key="canvas",
+    display_toolbar=True,
 )
-
-# Do something interesting with the image data and paths
-if canvas_result.image_data is not None:
-    st.image(canvas_result.image_data)
-if canvas_result.json_data is not None:
-    objects = pd.json_normalize(canvas_result.json_data["objects"]) # need to convert obj to str because PyArrow
-    for col in objects.select_dtypes(include=['object']).columns:
-        objects[col] = objects[col].astype("str")
-    st.dataframe(objects)