Switch to multi-page app

Author: emmanuelle

Procfile

@@ -1,2 +1 @@
-web: gunicorn correct_segmentation:server
-manuel: gunicorn app_seg:server
+web: gunicorn index:server

app_seg.py renamed to app1_seg.py

@@ -16,6 +16,8 @@
 from dash_canvas.utils.plot_utils import image_with_contour
 from dash_canvas.utils.io_utils import image_string_to_PILImage
 
+from app import app
+
 # Image to segment and shape parameters
 filename = 'https://upload.wikimedia.org/wikipedia/commons/e/e4/Mitochondria%2C_mammalian_lung_-_TEM_%282%29.jpg'
 img = io.imread(filename, as_gray=True)
@@ -26,18 +28,18 @@
 
 
 # ------------------ App definition ---------------------
-
+"""
 app = dash.Dash(__name__)
 
 server = app.server
 
 app.css.append_css({
     'external_url': 'https://codepen.io/chriddyp/pen/bWLwgP.css'
 })
+"""
 
 
-
-app.layout = html.Div([
+layout = html.Div([
     html.Div([
     html.Div([
     html.H2(children='Segmentation tool'),

correct_segmentation.py renamed to app2_correct_segmentation.py

@@ -15,6 +15,8 @@
 from dash_canvas.utils.io_utils import image_string_to_PILImage, array_to_data_url
 from dash_canvas.utils.image_processing_utils import modify_segmentation
 
+from app import app
+
 # Image to segment and shape parameters
 filename = 'https://upload.wikimedia.org/wikipedia/commons/1/1b/HumanChromosomesChromomycinA3.jpg'
 img = io.imread(filename, as_gray=True)
@@ -29,21 +31,12 @@
 canvas_width = 500
 canvas_height = round(height * canvas_width / width)
 scale = canvas_width / width
-print(scale, canvas_height)
 
 # ------------------ App definition ---------------------
 
-app = dash.Dash(__name__)
-
-server = app.server
-
-app.css.append_css({
-    'external_url': 'https://codepen.io/chriddyp/pen/bWLwgP.css'
-})
-
 
 
-app.layout = html.Div([
+layout = html.Div([
     html.Div([
     html.H3(children='Manual correction of automatic segmentation'),
     dcc.Markdown('''
@@ -92,7 +85,7 @@
     ], className="four columns"),
     html.Div([
     dash_canvas.DashCanvas(
-        id='canvas',
+        id='canvas_',
         label='my-label',
         width=canvas_width,
 	height=canvas_height,
@@ -106,11 +99,11 @@
 
 # ----------------------- Callbacks -----------------------------
 @app.callback(Output('cache', 'data'),
-             [Input('canvas', 'trigger'),],
-             [State('canvas', 'json_data'),
-              State('canvas', 'scale'),
-              State('canvas', 'height'),
-	      State('canvas', 'width'),
+             [Input('canvas_', 'trigger'),],
+             [State('canvas_', 'json_data'),
+              State('canvas_', 'scale'),
+              State('canvas_', 'height'),
+	      State('canvas_', 'width'),
               State('cache', 'data'),
               State('mode', 'value')])
 def update_segmentation(toggle, string, s, h, w, children, mode):
@@ -125,7 +118,7 @@ def update_segmentation(toggle, string, s, h, w, children, mode):
     return new_labels
 
 
-@app.callback(Output('canvas', 'image_content'),
+@app.callback(Output('canvas_', 'image_content'),
              [Input('cache', 'data')])
 def update_figure(labs):
     new_labels = np.array(labs)
@@ -154,7 +147,7 @@ def save_segmentation(labs, save_mode):
         uri = array_to_data_url(new_labels, dtype=np.uint8)
         return uri
 
-@app.callback(Output('canvas', 'tool'),
+@app.callback(Output('canvas_', 'tool'),
               [Input('tool', 'value')])
 def change_tool(tool_value):
     return tool_value