Create app.py

app.py

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+import easyocr as ocr  #OCR
+import streamlit as st  #Web App
+from PIL import Image #Image Processing
+import numpy as np #Image Processing 
+
+import re
+
+#title
+st.title("OCR - ML Example")
+
+#subtitle
+st.markdown("## Optical Character Recognition")
+
+#image uploader
+image = st.file_uploader(label = "Upload your image here",type=['png','jpg','jpeg'])
+
+
+@st.cache
+def load_model(): 
+    reader = ocr.Reader(['en'],model_storage_directory='.')
+    return reader 
+
+reader = load_model() #load model
+
+if image is not None:
+
+    input_image = Image.open(image) #read image
+    st.image(input_image) #display image
+
+    with st.spinner("Please wait ... processing"):
+        
+
+        result = reader.readtext(np.array(input_image))
+
+        result_text = [] #empty list for results
+
+
+        for text in result:
+            # only output if numbers and spaces
+            if re.match("^[0-9 ]+$", text[1]):
+                result_text.append(text[1])
+
+        st.write(result_text)
+    st.balloons()
+else:
+    st.write("Upload an Image")