Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -4,44 +4,31 @@ from PIL import Image #Image Processing
|
|
4 |
import numpy as np #Image Processing
|
5 |
|
6 |
#title
|
7 |
-
st.title("
|
8 |
|
9 |
#subtitle
|
10 |
-
st.markdown("## Optical Character Recognition - Using `easyocr`, `streamlit` - hosted on 🤗 Spaces")
|
11 |
-
|
12 |
st.markdown("Link to the app - [image-to-text-app on 🤗 Spaces](https://huggingface.co/spaces/Amrrs/image-to-text-app)")
|
13 |
|
14 |
#image uploader
|
15 |
-
image = st.file_uploader(label = "Upload your image here",type=['png','jpg','jpeg'])
|
16 |
|
17 |
|
18 |
-
@st.
|
19 |
def load_model():
|
20 |
reader = ocr.Reader(['en'],model_storage_directory='.')
|
21 |
return reader
|
22 |
|
23 |
-
reader = load_model()
|
24 |
|
25 |
if image is not None:
|
26 |
-
|
27 |
input_image = Image.open(image) #read image
|
28 |
-
st.image(input_image)
|
29 |
-
|
30 |
-
with st.spinner("🤖 AI is at Work! "):
|
31 |
-
|
32 |
-
|
33 |
result = reader.readtext(np.array(input_image))
|
34 |
-
|
35 |
-
result_text = [] #empty list for results
|
36 |
-
|
37 |
-
|
38 |
for text in result:
|
39 |
result_text.append(text[1])
|
40 |
-
|
41 |
st.write(result_text)
|
42 |
-
#st.success("Here you go!")
|
43 |
st.balloons()
|
44 |
else:
|
45 |
-
st.write("Upload an Image")
|
46 |
-
|
47 |
-
st.caption("Made with ❤️ by @1littlecoder. Credits to 🤗 Spaces for Hosting this ")
|
|
|
4 |
import numpy as np #Image Processing
|
5 |
|
6 |
#title
|
7 |
+
st.title("Image to Text Toy Application")
|
8 |
|
9 |
#subtitle
|
|
|
|
|
10 |
st.markdown("Link to the app - [image-to-text-app on 🤗 Spaces](https://huggingface.co/spaces/Amrrs/image-to-text-app)")
|
11 |
|
12 |
#image uploader
|
13 |
+
image = st.file_uploader(label = "Upload your image here", type=['png','jpg','jpeg'])
|
14 |
|
15 |
|
16 |
+
@st.cache_data
|
17 |
def load_model():
|
18 |
reader = ocr.Reader(['en'],model_storage_directory='.')
|
19 |
return reader
|
20 |
|
21 |
+
reader = load_model()
|
22 |
|
23 |
if image is not None:
|
|
|
24 |
input_image = Image.open(image) #read image
|
25 |
+
st.image(input_image)
|
26 |
+
with st.spinner("AI is at Work!"):
|
|
|
|
|
|
|
27 |
result = reader.readtext(np.array(input_image))
|
28 |
+
result_text = []
|
|
|
|
|
|
|
29 |
for text in result:
|
30 |
result_text.append(text[1])
|
|
|
31 |
st.write(result_text)
|
|
|
32 |
st.balloons()
|
33 |
else:
|
34 |
+
st.write("Upload an Image")
|
|
|
|