add app.py to git

app.py

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+import pandas as pd
+import numpy as np
+import streamlit as st
+import easyocr
+import PIL
+from PIL import Image, ImageDraw
+
+def rectangle(image, result):
+    # https://www.blog.pythonlibrary.org/2021/02/23/drawing-shapes-on-images-with-python-and-pillow/
+    """ draw rectangles on image based on predicted coordinates"""
+    draw = ImageDraw.Draw(image)
+    for res in result:
+        top_left = tuple(res[0][0]) # top left coordinates as tuple
+        bottom_right = tuple(res[0][2]) # bottom right coordinates as tuple
+        draw.rectangle((top_left, bottom_right), outline="blue", width=2)
+    #display image on streamlit
+    st.image(image)
+
+
+# main title
+st.title("Get text from image with EasyOCR")
+
+# subtitle
+st.markdown("## EasyOCR with Streamlit")
+
+# upload image file
+file = st.file_uploader(label = "Upload Here", type=['png', 'jpg', 'jpeg'])
+
+#read the csv file and display the dataframe
+if file is not None:
+    image = Image.open(file) # read image with PIL library
+    st.image(image) #display
+
+    # it will only detect the English and Turkish part of the image as text
+    reader = easyocr.Reader(['fa','ar'], gpu=False) 
+    result = reader.readtext(np.array(image))  # turn image to numpy array
+
+    # Add a placeholder
+    # latest_iteration = st.empty()
+    # bar = st.progress(0)
+    
+    # for i in range(100):
+      # Update the progress bar with each iteration.
+      # latest_iteration.text(f'Iteration {i+1}')
+      # bar.progress(i + 1)
+      # time.sleep(0.1)
+
+    # print all predicted text:
+    for idx in range(len(result)):
+        pred_text = result[idx][1]
+        st.write(pred_text)
+    
+    # collect the results in the dictionary:
+    textdic_easyocr = {}
+    for idx in range(len(result)):
+        pred_coor = result[idx][0]
+        pred_text = result[idx][1]
+        pred_confidence = result[idx][2]
+        textdic_easyocr[pred_text] = {}
+        textdic_easyocr[pred_text]['pred_confidence'] = pred_confidence
+
+    # create a data frame which shows the predicted text and prediction confidence
+    df = pd.DataFrame.from_dict(textdic_easyocr).T
+    st.table(df)
+
+    # get boxes on the image 
+    rectangle(image, result)
+
+    st.spinner(text="In progress...")
+    
+else:
+    st.write("Upload your image")
+
+

requirements.txt

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+Pillow==9.4.0
+streamlit==1.20.0
+easyocr==1.6.2
+pandas
+numpy==1.24.2
+matplotlib==3.7.1
+altair<5