gradio image app features added

app_savta.py

@@ -2,6 +2,15 @@ import numpy as np
 
 import gradio as gr
 
+title = "SavtaDepth WebApp"
+description = "Monocular Depth Estimation - Turn 2d photos into 3d photos"
+article = "<p style='text-align: center'><a href='https://dagshub.com/OperationSavta/SavtaDepth' target='_blank'>SavtaDepth Project from OperationSavta</a></p><p style='text-align: center'><a href='https://colab.research.google.com/drive/1XU4DgQ217_hUMU1dllppeQNw3pTRlHy1?usp=sharing' target='_blank'>Google Colab Demo</a></p></center></p>"
+
+examples = [
+    ["examples/00008.jpg"],
+    ["examples/00045.jpg"],
+]
+
 
 def sepia(input_img):
     sepia_filter = np.array(
@@ -12,6 +21,6 @@ def sepia(input_img):
     return sepia_img
 
 
-iface = gr.Interface(sepia, gr.inputs.Image(shape=(200, 200)), "image")
+iface = gr.Interface(sepia, gr.inputs.Image(shape=(200, 200)), "image", title = title, description = description, article = article, examples = examples)
 
-iface.launch(auth=("admin", "pass1234"))
+iface.launch(enable_queue=True, auth=("admin", "pass1234"))

heroku.yml

@@ -0,0 +1,5 @@
+build:
+  docker:
+    web: Dockerfile
+run:
+  web: source setup.sh && python app_savta.py