SkalskiP commited on
Commit
9bf8ce9
1 Parent(s): b887a7c

test examples

Browse files
Files changed (1) hide show
  1. app.py +20 -15
app.py CHANGED
@@ -1,3 +1,5 @@
 
 
1
  import cv2
2
  import random
3
  from typing import Tuple, Optional
@@ -29,14 +31,13 @@ CLIENT = Client("SkalskiP/florence-sam-masking")
29
 
30
  EXAMPLES = [
31
  [
32
- None,
33
  {
34
  "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
35
  "layers": [Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-2-removebg.png", stream=True).raw)],
36
  "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-2.png", stream=True).raw),
37
  },
38
  "little lion",
39
- None,
40
  5,
41
  5,
42
  42,
@@ -45,15 +46,14 @@ EXAMPLES = [
45
  30
46
  ],
47
  [
48
- None,
49
  {
50
- "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
51
- "layers": [Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-3-removebg.png", stream=True).raw)],
52
- "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-3.png", stream=True).raw),
53
  },
54
- "tribal tattoos",
55
- None,
56
- 5,
57
  5,
58
  42,
59
  False,
@@ -118,8 +118,11 @@ def process_mask(
118
 
119
 
120
  def set_client_for_session(request: gr.Request):
121
- x_ip_token = request.headers['x-ip-token']
122
- return Client("SkalskiP/florence-sam-masking", headers={"X-IP-Token": x_ip_token})
 
 
 
123
 
124
 
125
  @spaces.GPU(duration=50)
@@ -163,7 +166,7 @@ def process(
163
  num_inference_steps_slider: int
164
  ):
165
  if not inpainting_prompt_text:
166
- gr.Info("Please enter a text prompt.")
167
  return None, None
168
 
169
  image_path = input_image_editor['background']
@@ -210,6 +213,9 @@ def process(
210
  return image, mask
211
 
212
 
 
 
 
213
  with gr.Blocks() as demo:
214
  client_component = gr.State()
215
  gr.Markdown(MARKDOWN)
@@ -303,10 +309,9 @@ with gr.Blocks() as demo:
303
  output_mask_component = gr.Image(
304
  type='pil', image_mode='RGB', label='Input mask', format="png")
305
  gr.Examples(
306
- fn=process,
307
  examples=EXAMPLES,
308
  inputs=[
309
- client_component,
310
  input_image_editor_component,
311
  inpainting_prompt_text_component,
312
  masking_prompt_text_component,
@@ -322,7 +327,7 @@ with gr.Blocks() as demo:
322
  output_mask_component
323
  ],
324
  run_on_click=True,
325
- # cache_examples=True
326
  )
327
 
328
  submit_button_component.click(
 
1
+ from functools import partial
2
+
3
  import cv2
4
  import random
5
  from typing import Tuple, Optional
 
31
 
32
  EXAMPLES = [
33
  [
 
34
  {
35
  "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
36
  "layers": [Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-2-removebg.png", stream=True).raw)],
37
  "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-2.png", stream=True).raw),
38
  },
39
  "little lion",
40
+ "",
41
  5,
42
  5,
43
  42,
 
46
  30
47
  ],
48
  [
 
49
  {
50
+ "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-5.jpeg", stream=True).raw),
51
+ "layers": None,
52
+ "composite": None
53
  },
54
+ "big blue eyes",
55
+ "eyes",
56
+ 10,
57
  5,
58
  42,
59
  False,
 
118
 
119
 
120
  def set_client_for_session(request: gr.Request):
121
+ try:
122
+ x_ip_token = request.headers['x-ip-token']
123
+ return Client("SkalskiP/florence-sam-masking", headers={"X-IP-Token": x_ip_token})
124
+ except:
125
+ return CLIENT
126
 
127
 
128
  @spaces.GPU(duration=50)
 
166
  num_inference_steps_slider: int
167
  ):
168
  if not inpainting_prompt_text:
169
+ gr.Info("Please enter inpainting text prompt.")
170
  return None, None
171
 
172
  image_path = input_image_editor['background']
 
213
  return image, mask
214
 
215
 
216
+ process_example = partial(process, client=CLIENT)
217
+
218
+
219
  with gr.Blocks() as demo:
220
  client_component = gr.State()
221
  gr.Markdown(MARKDOWN)
 
309
  output_mask_component = gr.Image(
310
  type='pil', image_mode='RGB', label='Input mask', format="png")
311
  gr.Examples(
312
+ fn=process_example,
313
  examples=EXAMPLES,
314
  inputs=[
 
315
  input_image_editor_component,
316
  inpainting_prompt_text_component,
317
  masking_prompt_text_component,
 
327
  output_mask_component
328
  ],
329
  run_on_click=True,
330
+ cache_examples="lazy"
331
  )
332
 
333
  submit_button_component.click(