root commited on
Commit
376eaac
0 Parent(s):

first commit

Browse files
Files changed (3) hide show
  1. Makefile +27 -0
  2. app.py +36 -0
  3. requirements.txt +2 -0
Makefile ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ install:
2
+ pip install --upgrade pip &&\
3
+ pip install -r requirements.txt
4
+
5
+ test:
6
+ python -m pytest -vvv --cov=hello --cov=greeting \
7
+ --cov=smath --cov=web tests
8
+ python -m pytest --nbval notebook.ipynb #tests our jupyter notebook
9
+ #python -m pytest -v tests/test_web.py #if you just want to test web
10
+
11
+ debug:
12
+ python -m pytest -vv --pdb #Debugger is invoked
13
+
14
+ one-test:
15
+ python -m pytest -vv tests/test_greeting.py::test_my_name4
16
+
17
+ debugthree:
18
+ #not working the way I expect
19
+ python -m pytest -vv --pdb --maxfail=4 # drop to PDB for first three failures
20
+
21
+ format:
22
+ black *.py
23
+
24
+ lint:
25
+ pylint --disable=R,C *.py
26
+
27
+ all: install lint test format
app.py ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from PIL import Image
2
+ import torch
3
+ import gradio
4
+
5
+ Instructuction = "Select a Unique Portrait Image of yourself"
6
+ title="I am something of a Painter, Anime-Edition (AnimeGAN-V2)"
7
+ description = "Drag/Drop or Upload a cute portrait Image of yourself or anyone you find interesting 😉, then observe how this Generative model\
8
+ is able to Generate a cute Anime-Cartoon version of your Image."
9
+ article = """
10
+ - Select an image from the examples provided as demo image,
11
+ - Click submit to Generate Image,
12
+ - Tips: Quality Images with Great brightness/without pre-existing filters work better (Image Noise).
13
+ - Privacy: No user data is collected or saved,
14
+ - Credits to akhaliq/AnimeGANv2 for original AnimeGanV2"""
15
+
16
+ model = torch.hub.load(
17
+ "AK391/animegan2-pytorch:main",
18
+ "generator",
19
+ pretrained=True,
20
+ device="cuda",
21
+ progress=False
22
+ )
23
+ face2paint = torch.hub.load(
24
+ 'AK391/animegan2-pytorch:main', 'face2paint',
25
+ size=512, device="cuda",side_by_side=False
26
+ )
27
+
28
+ def inference(img):
29
+ return face2paint(model, img)
30
+
31
+ gradio.Interface(inference,
32
+ inputs=gradio.Image(type='pil'),
33
+ outputs=gradio.Image(type='pil'),
34
+ Instructuction=Instructuction, title=title, description=description, article=article,
35
+ examples=['/content/Upload Xty.png',
36
+ '/content/Upload Tg.png']).launch()
requirements.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ gradio
2
+ tourch