espejelomar commited on
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df98ebc
1 Parent(s): 8422359

Update app.py

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  1. app.py +5 -136
app.py CHANGED
@@ -1,18 +1,5 @@
1
- # from distutils.command.build import build
2
  import streamlit as st # HF spaces at v1.2.0
3
- # from utils import load_model,generate,get_dataset,embed,make_meme
4
  from utils import load_model,generate
5
- # import streamlit.components.v1 as components
6
- # import io
7
- # import os
8
-
9
- # root_dir=os.path.dirname(os.path.abspath(__file__))
10
- # build_dir = os.path.join(root_dir, "custom_component/frontend/build")
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- # _component_func = components.declare_component("release_butterflies", path=build_dir)
12
- # def release_butterflies(name, key=None):
13
- # component_value = _component_func(name=name, key=key, default=0)
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- # return component_value
15
-
16
 
17
  ## Configuraci贸n de nuestro demo
18
  st.title("Butterfly GAN (GAN de mariposas)")
@@ -21,59 +8,17 @@ st.write("*Disclaimers:")
21
  st.write("* Este demo es una versi贸n simplificada del creado por [Ceyda Cinarel](https://github.com/cceyda) y [Jonathan Whitaker](https://datasciencecastnet.home.blog/) ([link](https://huggingface.co/spaces/huggan/butterfly-gan)) durante el hackathon [HugGan](https://github.com/huggingface/community-events).")
22
  st.write("* Modelo basado en el [paper](https://openreview.net/forum?id=1Fqg133qRaI) *Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis*.")
23
 
24
- st.sidebar.subheader("隆Esta mariposa no existe! Ni en Am茅rica Latina 馃く")
25
  st.sidebar.image("assets/logo.png", width=200)
26
- st.sidebar.caption(f"[Model](https://huggingface.co/ceyda/butterfly_cropped_uniq1K_512) & [Dataset](https://huggingface.co/datasets/huggan/smithsonian_butterflies_subset) used")
27
- st.sidebar.caption(f"Made during the [huggan](https://github.com/huggingface/community-events) hackathon")
28
- st.sidebar.caption(f"Contributors:")
29
- st.sidebar.caption(f"[Ceyda Cinarel](https://github.com/cceyda) & [Jonathan Whitaker](https://datasciencecastnet.home.blog/)")
30
-
31
 
32
  ## Cargamos modelo
33
  repo_id = 'ceyda/butterfly_cropped_uniq1K_512'
34
  version_modelo ='57d36a15546909557d9f967f47713236c8288838'
35
  modelo_gan = load_model(repo_id, version_modelo)
36
 
37
- # @st.experimental_singleton
38
- # def load_model_intocache(model_name,model_version):
39
- # # model_name='ceyda/butterfly_512_base'
40
- # gan = load_model(model_name,model_version)
41
- # return gan
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-
43
- # @st.experimental_singleton
44
- # def load_dataset():
45
- # dataset=get_dataset()
46
- # return dataset
47
-
48
- # @st.experimental_singleton
49
- # def load_variables():# Don't want to open read files over and over. not sure if it makes a diff
50
- # latent_walk_code=open("assets/code_snippets/latent_walk.py").read()
51
- # latent_walk_code_music=open("assets/code_snippets/latent_walk_music.py").read()
52
- # return latent_walk_code,latent_walk_code_music
53
-
54
- # def img2download(image):
55
- # imgByteArr = io.BytesIO()
56
- # image.save(imgByteArr, format="JPEG")
57
- # imgByteArr = imgByteArr.getvalue()
58
- # return imgByteArr
59
-
60
- # model_name='ceyda/butterfly_cropped_uniq1K_512'
61
- # model_version='57d36a15546909557d9f967f47713236c8288838'
62
- # model_version=None
63
-
64
-
65
- # model=load_model_intocache(model_name,model_version)
66
- # dataset=loadk_dataset()
67
- # latent_walk_code, latent_walk_code_music=load_variables()
68
-
69
- # generate_menu="馃 Make butterflies"
70
- # latent_walk_menu="馃帶 Take a latent walk"
71
- # make_meme_menu="馃惁 Make a meme"
72
- # mosaic_menu="馃憖 See the mosaic"
73
- # fun_menu="馃檶 Release the butterflies"
74
-
75
- # screen = st.sidebar.radio("Pick a destination",[generate_menu,latent_walk_menu,make_meme_menu,mosaic_menu,fun_menu])
76
-
77
  ## Generamos 4 mariposas
78
  n_mariposas =4
79
 
@@ -92,7 +37,7 @@ if 'ims' not in st.session_state:
92
  ims=st.session_state["ims"]
93
 
94
  ## Si la usuaria da click en el bot贸n entonces corremos la funci贸n genera()
95
- runb=st.button("Genera mariposas por favor", on_click=corre ,help="generated on the fly maybe slow")
96
 
97
  if ims is not None:
98
  cols=st.columns(n_mariposas)
@@ -100,81 +45,5 @@ if ims is not None:
100
  for j,im in enumerate(ims):
101
  i=j%n_mariposas
102
  cols[i].image(im, use_column_width=True)
103
- # picks[j]=cols[i].button("Find Nearest",key="pick_"+str(j))
104
-
105
- # if any(picks):
106
- # # st.write("Nearest butterflies:")
107
- # for i,pick in enumerate(picks):
108
- # if pick:
109
- # scores, retrieved_examples=dataset.get_nearest_examples('beit_embeddings', embed(ims[i]), k=5)
110
- # for r in retrieved_examples["image"]:
111
- # cols[i].image(r, use_column_width=True)
112
- # st.write("Nearest neighbors found in the training set according to L2 distance on 'microsoft/beit-base-patch16-224' embeddings")
113
- # st.write(f"Latent dimension: {model.latent_dim}, image size:{model.image_size}")
114
-
115
- # elif screen == latent_walk_menu:
116
-
117
- # st.write("Take a latent walk :musical_note: with cute butterflies")
118
-
119
- # cols=st.columns(3)
120
-
121
- # cols[0].caption("A regular walk (no music)")
122
- # cols[0].video("assets/latent_walks/regular_walk.mp4")
123
-
124
- # cols[1].caption("Walk with music :butterfly:")
125
- # cols[1].video("assets/latent_walks/walk_happyrock.mp4")
126
- # cols[2].caption("Walk with music :butterfly:")
127
- # cols[2].video("assets/latent_walks/walk_cute.mp4")
128
-
129
- # st.caption("Royalty Free Music from Bensound")
130
- # st.write("馃帶Did those butterflies seem to be dancing to the music?!Here is the secret:")
131
- # with st.expander("See the Code Snippets"):
132
- # st.write("A regular latent walk:")
133
- # st.code(latent_walk_code, language='python')
134
- # st.write(":musical_note: latent walk with music:")
135
- # st.code(latent_walk_code_music, language='python')
136
-
137
-
138
- # elif screen == make_meme_menu:
139
- # if "pigeon" not in st.session_state:
140
- # st.session_state['pigeon'] = generate(model,1)[0]
141
-
142
- # def get_pigeon():
143
- # st.session_state['pigeon'] = generate(model,1)[0]
144
-
145
- # cols= st.columns(2)
146
- # cols[0].button("change pigeon",on_click=get_pigeon)
147
- # no_bg=cols[1].checkbox("Remove background?",True,help="Remove the background from pigeon")
148
- # show_text=cols[1].checkbox("Show text?",True)
149
-
150
- # meme_text=st.text_input("Enter text","Is this a pigeon?")
151
-
152
-
153
- # meme=make_meme(st.session_state['pigeon'],text=meme_text,show_text=show_text,remove_background=no_bg)
154
- # st.image(meme)
155
- # coly=st.columns(2)
156
- # coly[0].download_button("Download", img2download(meme),mime="image/jpeg")
157
- # coly[1].write("Made a cool one? [Share](https://twitter.com/intent/tweet?text=Check%20out%20the%20demo%20for%20Butterfly%20GAN%20%F0%9F%A6%8Bhttps%3A//huggingface.co/spaces/huggan/butterfly-gan%0Amade%20by%20%40ceyda_cinarel%20%26%20%40johnowhitaker%20) on Twitter")
158
-
159
-
160
- # elif screen == mosaic_menu:
161
- # cols=st.columns(2)
162
- # cols[0].markdown("These are all the butterflies in our [training set](https://huggingface.co/huggan/smithsonian_butterflies_subset)")
163
- # cols[0].image("assets/train_data_mosaic_lowres.jpg")
164
- # cols[0].write("馃攷 view the high-res version [here](https://www.easyzoom.com/imageaccess/0c77e0e716f14ea7bc235447e5a4c397)")
165
-
166
- # cols[1].markdown("These are the butterflies our model generated.")
167
- # cols[1].image("assets/gen_mosaic_lowres.jpg")
168
- # cols[1].write("馃攷 view the high-res version [here](https://www.easyzoom.com/imageaccess/cbb04e81106c4c54a9d9f9dbfb236eab)")
169
 
170
- # elif screen == fun_menu:
171
-
172
- # cols=st.columns([1,2])
173
- # cols[0].write("While working on this project")
174
- # cols[0].image("assets/butterflies_everywhere.jpg")
175
-
176
- # with cols[1]:
177
- # release_butterflies("Hello World")
178
-
179
 
180
- ## Feel free to add more & change stuff ^
 
 
1
  import streamlit as st # HF spaces at v1.2.0
 
2
  from utils import load_model,generate
 
 
 
 
 
 
 
 
 
 
 
3
 
4
  ## Configuraci贸n de nuestro demo
5
  st.title("Butterfly GAN (GAN de mariposas)")
 
8
  st.write("* Este demo es una versi贸n simplificada del creado por [Ceyda Cinarel](https://github.com/cceyda) y [Jonathan Whitaker](https://datasciencecastnet.home.blog/) ([link](https://huggingface.co/spaces/huggan/butterfly-gan)) durante el hackathon [HugGan](https://github.com/huggingface/community-events).")
9
  st.write("* Modelo basado en el [paper](https://openreview.net/forum?id=1Fqg133qRaI) *Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis*.")
10
 
11
+ st.sidebar.subheader("隆Esta mariposa no existe! Ni en Am茅rica Latina 馃く.")
12
  st.sidebar.image("assets/logo.png", width=200)
13
+ st.sidebar.caption(f"[Modelo](https://huggingface.co/ceyda/butterfly_cropped_uniq1K_512) y [Dataset](https://huggingface.co/datasets/huggan/smithsonian_butterflies_subset) usados.")
14
+ st.sidebar.caption(f"*Contribuidores:*")
15
+ st.sidebar.caption(f"[Ceyda Cinarel](https://github.com/cceyda) y [Jonathan Whitaker](https://datasciencecastnet.home.blog/). Edici贸n de versi贸n simplificada por [Omar Espejel](https://twitter.com/espejelomar).")
 
 
16
 
17
  ## Cargamos modelo
18
  repo_id = 'ceyda/butterfly_cropped_uniq1K_512'
19
  version_modelo ='57d36a15546909557d9f967f47713236c8288838'
20
  modelo_gan = load_model(repo_id, version_modelo)
21
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
  ## Generamos 4 mariposas
23
  n_mariposas =4
24
 
 
37
  ims=st.session_state["ims"]
38
 
39
  ## Si la usuaria da click en el bot贸n entonces corremos la funci贸n genera()
40
+ runb=st.button("Genera mariposas, porfa.", on_click=corre ,help="Estamos en pleno vuelo, puede tardar.")
41
 
42
  if ims is not None:
43
  cols=st.columns(n_mariposas)
 
45
  for j,im in enumerate(ims):
46
  i=j%n_mariposas
47
  cols[i].image(im, use_column_width=True)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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