jordonpeter01 commited on
Commit
d936248
1 Parent(s): e919116

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +14 -7
app.py CHANGED
@@ -1,9 +1,9 @@
1
- !pip install --upgrade gradio
2
-
3
  import gradio as gr
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  from random import randint
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  from all_models import models
6
 
 
 
7
  def load_fn(models):
8
  global models_load
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  models_load = {}
@@ -16,28 +16,35 @@ def load_fn(models):
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  m = gr.Interface(lambda txt: None, ['text'], ['image'])
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  models_load.update({model: m})
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  load_fn(models)
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21
  num_models = 150
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  default_models = models[:num_models]
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  def extend_choices(choices):
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  return choices + (num_models - len(choices)) * ['NA']
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27
  def update_imgbox(choices):
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  choices_plus = extend_choices(choices)
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  return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
30
 
31
- def gen_fn(model_str, prompt, negative_prompt):
 
32
  if model_str == 'NA':
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  return None
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  noise = str('') #str(randint(0, 99999999999))
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- return models_loadmodel_str
 
 
36
 
37
  with gr.Blocks() as demo:
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  with gr.Tab('The Dream'):
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  txt_input = gr.Textbox(label = 'Your prompt:', lines=4).style(container=False,min_width=1200)
40
- negative_txt_input = gr.Textbox(label = 'Your negative prompt:', lines=4).style(container=False,min_width=1200)
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  gen_button = gr.Button('Generate up to 150 images in up to 3 minutes total')
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  stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
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  gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
@@ -58,7 +65,7 @@ with gr.Blocks() as demo:
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  current_models = [gr.Textbox(m, visible = False) for m in default_models]
59
 
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  for m, o in zip(current_models, output):
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- gen_event = gen_button.click(gen_fn, [m, txt_input, negative_txt_input], o)
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  stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
63
  with gr.Accordion('Model selection'):
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  model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 755 available!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
@@ -74,4 +81,4 @@ with gr.Blocks() as demo:
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  )
75
 
76
  demo.queue(concurrency_count = 200)
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- demo.launch()
 
 
 
1
  import gradio as gr
2
  from random import randint
3
  from all_models import models
4
 
5
+
6
+
7
  def load_fn(models):
8
  global models_load
9
  models_load = {}
 
16
  m = gr.Interface(lambda txt: None, ['text'], ['image'])
17
  models_load.update({model: m})
18
 
19
+
20
  load_fn(models)
21
 
22
+
23
  num_models = 150
24
  default_models = models[:num_models]
25
 
26
+
27
+
28
  def extend_choices(choices):
29
  return choices + (num_models - len(choices)) * ['NA']
30
 
31
+
32
  def update_imgbox(choices):
33
  choices_plus = extend_choices(choices)
34
  return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
35
 
36
+
37
+ def gen_fn(model_str, prompt):
38
  if model_str == 'NA':
39
  return None
40
  noise = str('') #str(randint(0, 99999999999))
41
+ return models_load[model_str](f'{prompt} {noise}')
42
+
43
+
44
 
45
  with gr.Blocks() as demo:
46
  with gr.Tab('The Dream'):
47
  txt_input = gr.Textbox(label = 'Your prompt:', lines=4).style(container=False,min_width=1200)
 
48
  gen_button = gr.Button('Generate up to 150 images in up to 3 minutes total')
49
  stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
50
  gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
 
65
  current_models = [gr.Textbox(m, visible = False) for m in default_models]
66
 
67
  for m, o in zip(current_models, output):
68
+ gen_event = gen_button.click(gen_fn, [m, txt_input], o)
69
  stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
70
  with gr.Accordion('Model selection'):
71
  model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 755 available!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
 
81
  )
82
 
83
  demo.queue(concurrency_count = 200)
84
+ demo.launch()