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
+
+# Title
+st.title("Easy OCR - Extract Text from Images")
+
+# Subtitle
+st.markdown("## Optical Character Recognition - Using easyocr - hosted on 🦄 Spaces")
+
+st.markdown("")
+
+# 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("🤖 AI is at Work! "):
+        result = reader.readtext(np.array(input_image))
+
+        result_text = []  # Empty list for results
+
+        for text in result:
+            result_text.append(text[1])
+
+        st.write(result_text)
+        st.success("Here you go!")
+        st.balloons()
+else:
+    st.write("Upload an Image")
+
+st.caption("Made with ❤ by @littlecoder")