Spaces:
Running
Running
Delete src/streamlit_app.py
Browse files- src/streamlit_app.py +0 -130
src/streamlit_app.py
DELETED
@@ -1,130 +0,0 @@
|
|
1 |
-
import numpy as np
|
2 |
-
import pandas as pd
|
3 |
-
import streamlit as st
|
4 |
-
import os
|
5 |
-
from datetime import datetime
|
6 |
-
from PIL import Image
|
7 |
-
from streamlit_drawable_canvas import st_canvas
|
8 |
-
from io import BytesIO
|
9 |
-
from copy import deepcopy
|
10 |
-
|
11 |
-
from src.core import process_inpaint
|
12 |
-
|
13 |
-
|
14 |
-
def image_download_button(pil_image, filename: str, fmt: str, label="Download"):
|
15 |
-
if fmt not in ["jpg", "png"]:
|
16 |
-
raise Exception(f"Unknown image format (Available: {fmt} - case sensitive)")
|
17 |
-
|
18 |
-
pil_format = "JPEG" if fmt == "jpg" else "PNG"
|
19 |
-
file_format = "jpg" if fmt == "jpg" else "png"
|
20 |
-
mime = "image/jpeg" if fmt == "jpg" else "image/png"
|
21 |
-
|
22 |
-
buf = BytesIO()
|
23 |
-
pil_image.save(buf, format=pil_format)
|
24 |
-
|
25 |
-
return st.download_button(
|
26 |
-
label=label,
|
27 |
-
data=buf.getvalue(),
|
28 |
-
file_name=f'{filename}.{file_format}',
|
29 |
-
mime=mime,
|
30 |
-
)
|
31 |
-
|
32 |
-
if "button_id" not in st.session_state:
|
33 |
-
st.session_state["button_id"] = ""
|
34 |
-
if "color_to_label" not in st.session_state:
|
35 |
-
st.session_state["color_to_label"] = {}
|
36 |
-
|
37 |
-
if 'reuse_image' not in st.session_state:
|
38 |
-
st.session_state.reuse_image = None
|
39 |
-
def set_image(img):
|
40 |
-
st.session_state.reuse_image = img
|
41 |
-
|
42 |
-
st.title("Magic Eraser")
|
43 |
-
|
44 |
-
st.image(open("assets/magic-eraser.png", "rb").read())
|
45 |
-
|
46 |
-
st.markdown(
|
47 |
-
"""
|
48 |
-
You don't have to worry about mastering photo editing techniques to remove an object from your photo. **Simply mark over the areas you want to erase, and our AI will take care of the rest.**
|
49 |
-
"""
|
50 |
-
)
|
51 |
-
uploaded_file = st.file_uploader("Choose image", accept_multiple_files=False, type=["png", "jpg", "jpeg"])
|
52 |
-
|
53 |
-
if uploaded_file is not None:
|
54 |
-
|
55 |
-
if st.session_state.reuse_image is not None:
|
56 |
-
img_input = Image.fromarray(st.session_state.reuse_image)
|
57 |
-
else:
|
58 |
-
bytes_data = uploaded_file.getvalue()
|
59 |
-
img_input = Image.open(BytesIO(bytes_data)).convert("RGBA")
|
60 |
-
|
61 |
-
#resize
|
62 |
-
max_size = 2000
|
63 |
-
img_width, img_height = img_input.size
|
64 |
-
if img_width > max_size or img_height > max_size:
|
65 |
-
if img_width > img_height:
|
66 |
-
new_width = max_size
|
67 |
-
new_height = int((max_size / img_width) * img_height)
|
68 |
-
else:
|
69 |
-
new_height = max_size
|
70 |
-
new_width = int((max_size / img_height) * img_width)
|
71 |
-
img_input = img_input.resize((new_width, new_height))
|
72 |
-
|
73 |
-
stroke_width = st.slider("Brush size", 1, 100, 50)
|
74 |
-
|
75 |
-
st.write("**Now draw (brush) the part of image that you want to remove.**")
|
76 |
-
|
77 |
-
canvas_bg = deepcopy(img_input)
|
78 |
-
aspect_ratio = canvas_bg.width / canvas_bg.height
|
79 |
-
streamlit_width = 720
|
80 |
-
|
81 |
-
if canvas_bg.width > streamlit_width:
|
82 |
-
canvas_bg = canvas_bg.resize((streamlit_width, int(streamlit_width / aspect_ratio)))
|
83 |
-
|
84 |
-
canvas_result = st_canvas(
|
85 |
-
stroke_color="rgba(255, 0, 255, 1)",
|
86 |
-
stroke_width=stroke_width,
|
87 |
-
background_image=canvas_bg,
|
88 |
-
width=canvas_bg.width,
|
89 |
-
height=canvas_bg.height,
|
90 |
-
drawing_mode="freedraw",
|
91 |
-
key="compute_arc_length",
|
92 |
-
)
|
93 |
-
|
94 |
-
if canvas_result.image_data is not None:
|
95 |
-
im = np.array(Image.fromarray(canvas_result.image_data.astype(np.uint8)).resize(img_input.size))
|
96 |
-
background = np.where(
|
97 |
-
(im[:, :, 0] == 0) &
|
98 |
-
(im[:, :, 1] == 0) &
|
99 |
-
(im[:, :, 2] == 0)
|
100 |
-
)
|
101 |
-
drawing = np.where(
|
102 |
-
(im[:, :, 0] == 255) &
|
103 |
-
(im[:, :, 1] == 0) &
|
104 |
-
(im[:, :, 2] == 255)
|
105 |
-
)
|
106 |
-
im[background]=[0,0,0,255]
|
107 |
-
im[drawing]=[0,0,0,0] # RGBA
|
108 |
-
|
109 |
-
reuse = False
|
110 |
-
|
111 |
-
if st.button('Submit'):
|
112 |
-
|
113 |
-
with st.spinner("AI is doing the magic!"):
|
114 |
-
output = process_inpaint(np.array(img_input), np.array(im)) #TODO Put button here
|
115 |
-
img_output = Image.fromarray(output).convert("RGB")
|
116 |
-
|
117 |
-
st.write("AI has finished the job!")
|
118 |
-
st.image(img_output)
|
119 |
-
# reuse = st.button('Edit again (Re-use this image)', on_click=set_image, args=(inpainted_img, ))
|
120 |
-
|
121 |
-
uploaded_name = os.path.splitext(uploaded_file.name)[0]
|
122 |
-
image_download_button(
|
123 |
-
pil_image=img_output,
|
124 |
-
filename=uploaded_name,
|
125 |
-
fmt="jpg",
|
126 |
-
label="Download Image"
|
127 |
-
)
|
128 |
-
|
129 |
-
st.info("**TIP**: If the result is not perfect, you can download it then "
|
130 |
-
"upload then remove the artifacts.")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|